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b/translations/it/1-Introduction/01-defining-data-science/assignment.md index a139d84d..d4f61a70 100644 --- a/translations/it/1-Introduction/01-defining-data-science/assignment.md +++ b/translations/it/1-Introduction/01-defining-data-science/assignment.md @@ -1,12 +1,3 @@ - # Compito: Scenari di Data Science In questo primo compito, ti chiediamo di riflettere su alcuni processi o problemi reali in diversi ambiti e su come puoi migliorarli utilizzando il processo di Data Science. Pensa ai seguenti punti: diff --git a/translations/it/1-Introduction/01-defining-data-science/solution/assignment.md b/translations/it/1-Introduction/01-defining-data-science/solution/assignment.md index 7a60a5b3..fd6b3624 100644 --- a/translations/it/1-Introduction/01-defining-data-science/solution/assignment.md +++ b/translations/it/1-Introduction/01-defining-data-science/solution/assignment.md @@ -1,12 +1,3 @@ - # Assegnazione: Scenari di Data Science In questo primo compito, ti chiediamo di riflettere su un processo o problema reale in diversi ambiti e su come puoi migliorarlo utilizzando il processo di Data Science. Pensa ai seguenti punti: diff --git a/translations/it/1-Introduction/02-ethics/README.md b/translations/it/1-Introduction/02-ethics/README.md index 65c0ffc9..ea6fc377 100644 --- a/translations/it/1-Introduction/02-ethics/README.md +++ b/translations/it/1-Introduction/02-ethics/README.md @@ -1,12 +1,3 @@ - # Introduzione all'etica dei dati |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)| diff --git a/translations/it/1-Introduction/02-ethics/assignment.md b/translations/it/1-Introduction/02-ethics/assignment.md index 1566a3d5..59c7539a 100644 --- a/translations/it/1-Introduction/02-ethics/assignment.md +++ b/translations/it/1-Introduction/02-ethics/assignment.md @@ -1,12 +1,3 @@ - ## Scrivi un Caso di Studio sull'Etica dei Dati ## Istruzioni diff --git a/translations/it/1-Introduction/03-defining-data/README.md b/translations/it/1-Introduction/03-defining-data/README.md index 04864530..3c926b43 100644 --- a/translations/it/1-Introduction/03-defining-data/README.md +++ b/translations/it/1-Introduction/03-defining-data/README.md @@ -1,12 +1,3 @@ - # Definizione dei Dati |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)| diff --git a/translations/it/1-Introduction/03-defining-data/assignment.md b/translations/it/1-Introduction/03-defining-data/assignment.md index a1f080d9..a57dace1 100644 --- a/translations/it/1-Introduction/03-defining-data/assignment.md +++ b/translations/it/1-Introduction/03-defining-data/assignment.md @@ -1,12 +1,3 @@ - # Classificazione dei Dataset ## Istruzioni diff --git a/translations/it/1-Introduction/04-stats-and-probability/README.md b/translations/it/1-Introduction/04-stats-and-probability/README.md index 2f061931..ada9dc2b 100644 --- a/translations/it/1-Introduction/04-stats-and-probability/README.md +++ b/translations/it/1-Introduction/04-stats-and-probability/README.md @@ -1,12 +1,3 @@ - # Una Breve Introduzione alla Statistica e alla Probabilità |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)| @@ -64,7 +55,7 @@ Per aiutarci a comprendere la distribuzione dei dati, è utile parlare di **quar Graficamente possiamo rappresentare la relazione tra mediana e quartili in un diagramma chiamato **box plot**: -Spiegazione del Box Plot +Spiegazione del Box Plot Qui calcoliamo anche l'**intervallo interquartile** IQR=Q3-Q1 e i cosiddetti **outlier** - valori che si trovano al di fuori dei limiti [Q1-1.5*IQR,Q3+1.5*IQR]. diff --git a/translations/it/1-Introduction/04-stats-and-probability/assignment.md b/translations/it/1-Introduction/04-stats-and-probability/assignment.md index e01b677c..1df44ec2 100644 --- a/translations/it/1-Introduction/04-stats-and-probability/assignment.md +++ b/translations/it/1-Introduction/04-stats-and-probability/assignment.md @@ -1,12 +1,3 @@ - # Piccolo Studio sul Diabete In questo compito, lavoreremo con un piccolo dataset di pazienti diabetici preso da [qui](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html). diff --git a/translations/it/1-Introduction/README.md b/translations/it/1-Introduction/README.md index 16b01c0f..5fca8784 100644 --- a/translations/it/1-Introduction/README.md +++ b/translations/it/1-Introduction/README.md @@ -1,12 +1,3 @@ - # Introduzione alla Scienza dei Dati ![dati in azione](../../../translated_images/it/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg) diff --git a/translations/it/2-Working-With-Data/05-relational-databases/README.md b/translations/it/2-Working-With-Data/05-relational-databases/README.md index 0d5c6cd3..9d453bf0 100644 --- a/translations/it/2-Working-With-Data/05-relational-databases/README.md +++ b/translations/it/2-Working-With-Data/05-relational-databases/README.md @@ -1,12 +1,3 @@ - # Lavorare con i dati: database relazionali |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)| diff --git a/translations/it/2-Working-With-Data/05-relational-databases/assignment.md b/translations/it/2-Working-With-Data/05-relational-databases/assignment.md index 3e2b2919..4e960dcb 100644 --- a/translations/it/2-Working-With-Data/05-relational-databases/assignment.md +++ b/translations/it/2-Working-With-Data/05-relational-databases/assignment.md @@ -1,12 +1,3 @@ - # Visualizzazione dei dati sugli aeroporti Ti è stato fornito un [database](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db) basato su [SQLite](https://sqlite.org/index.html) che contiene informazioni sugli aeroporti. Lo schema è mostrato di seguito. Utilizzerai l'[estensione SQLite](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) in [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum) per visualizzare informazioni sugli aeroporti di diverse città. diff --git a/translations/it/2-Working-With-Data/06-non-relational/README.md b/translations/it/2-Working-With-Data/06-non-relational/README.md index 0251b3fb..7b66eb8a 100644 --- a/translations/it/2-Working-With-Data/06-non-relational/README.md +++ b/translations/it/2-Working-With-Data/06-non-relational/README.md @@ -1,12 +1,3 @@ - # Lavorare con i dati: Dati non relazionali |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)| diff --git a/translations/it/2-Working-With-Data/06-non-relational/assignment.md b/translations/it/2-Working-With-Data/06-non-relational/assignment.md index be0087f9..ba34d97b 100644 --- a/translations/it/2-Working-With-Data/06-non-relational/assignment.md +++ b/translations/it/2-Working-With-Data/06-non-relational/assignment.md @@ -1,12 +1,3 @@ - # Profitti della Soda ## Istruzioni diff --git a/translations/it/2-Working-With-Data/07-python/README.md b/translations/it/2-Working-With-Data/07-python/README.md index 61b7f00a..34073bb6 100644 --- a/translations/it/2-Working-With-Data/07-python/README.md +++ b/translations/it/2-Working-With-Data/07-python/README.md @@ -1,12 +1,3 @@ - # Lavorare con i Dati: Python e la Libreria Pandas | ![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) | diff --git a/translations/it/2-Working-With-Data/07-python/assignment.md b/translations/it/2-Working-With-Data/07-python/assignment.md index 6a7f8728..c40c1d9d 100644 --- a/translations/it/2-Working-With-Data/07-python/assignment.md +++ b/translations/it/2-Working-With-Data/07-python/assignment.md @@ -1,12 +1,3 @@ - # Compito per l'elaborazione dei dati in Python In questo compito, ti chiederemo di approfondire il codice che abbiamo iniziato a sviluppare nelle nostre sfide. Il compito è suddiviso in due parti: diff --git a/translations/it/2-Working-With-Data/08-data-preparation/README.md b/translations/it/2-Working-With-Data/08-data-preparation/README.md index 2a5e3a93..fbf5b21a 100644 --- a/translations/it/2-Working-With-Data/08-data-preparation/README.md +++ b/translations/it/2-Working-With-Data/08-data-preparation/README.md @@ -1,12 +1,3 @@ - # Lavorare con i dati: Preparazione dei dati |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)| diff --git a/translations/it/2-Working-With-Data/08-data-preparation/assignment.md b/translations/it/2-Working-With-Data/08-data-preparation/assignment.md index 963eae52..7ad87815 100644 --- a/translations/it/2-Working-With-Data/08-data-preparation/assignment.md +++ b/translations/it/2-Working-With-Data/08-data-preparation/assignment.md @@ -1,12 +1,3 @@ - # Valutazione dei dati di un modulo Un cliente ha testato un [piccolo modulo](../../../../2-Working-With-Data/08-data-preparation/index.html) per raccogliere alcuni dati di base sulla propria clientela. Ha portato i risultati a te per validare i dati raccolti. Puoi aprire la pagina `index.html` nel browser per dare un'occhiata al modulo. diff --git a/translations/it/2-Working-With-Data/README.md b/translations/it/2-Working-With-Data/README.md index 0e57ad2b..34e5ef85 100644 --- a/translations/it/2-Working-With-Data/README.md +++ b/translations/it/2-Working-With-Data/README.md @@ -1,12 +1,3 @@ - # Lavorare con i Dati ![data love](../../../translated_images/it/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg) diff --git a/translations/it/3-Data-Visualization/09-visualization-quantities/README.md b/translations/it/3-Data-Visualization/09-visualization-quantities/README.md index f754649c..c224ce17 100644 --- a/translations/it/3-Data-Visualization/09-visualization-quantities/README.md +++ b/translations/it/3-Data-Visualization/09-visualization-quantities/README.md @@ -1,12 +1,3 @@ - # Visualizzare le quantità |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)| diff --git a/translations/it/3-Data-Visualization/09-visualization-quantities/assignment.md b/translations/it/3-Data-Visualization/09-visualization-quantities/assignment.md index f11343ea..ac70da03 100644 --- a/translations/it/3-Data-Visualization/09-visualization-quantities/assignment.md +++ b/translations/it/3-Data-Visualization/09-visualization-quantities/assignment.md @@ -1,12 +1,3 @@ - # Linee, Dispersioni e Barre ## Istruzioni diff --git a/translations/it/3-Data-Visualization/10-visualization-distributions/README.md b/translations/it/3-Data-Visualization/10-visualization-distributions/README.md index 3a07521c..7bb20757 100644 --- a/translations/it/3-Data-Visualization/10-visualization-distributions/README.md +++ b/translations/it/3-Data-Visualization/10-visualization-distributions/README.md @@ -1,12 +1,3 @@ - # Visualizzare le Distribuzioni |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)| diff --git a/translations/it/3-Data-Visualization/10-visualization-distributions/assignment.md b/translations/it/3-Data-Visualization/10-visualization-distributions/assignment.md index 3e9fafdd..711f1459 100644 --- a/translations/it/3-Data-Visualization/10-visualization-distributions/assignment.md +++ b/translations/it/3-Data-Visualization/10-visualization-distributions/assignment.md @@ -1,12 +1,3 @@ - # Applica le tue competenze ## Istruzioni diff --git a/translations/it/3-Data-Visualization/11-visualization-proportions/README.md b/translations/it/3-Data-Visualization/11-visualization-proportions/README.md index 2287da4b..f8c2f9f6 100644 --- a/translations/it/3-Data-Visualization/11-visualization-proportions/README.md +++ b/translations/it/3-Data-Visualization/11-visualization-proportions/README.md @@ -1,12 +1,3 @@ - # Visualizzare le Proporzioni |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)| diff --git a/translations/it/3-Data-Visualization/11-visualization-proportions/assignment.md b/translations/it/3-Data-Visualization/11-visualization-proportions/assignment.md index a05c899a..f9262635 100644 --- a/translations/it/3-Data-Visualization/11-visualization-proportions/assignment.md +++ b/translations/it/3-Data-Visualization/11-visualization-proportions/assignment.md @@ -1,12 +1,3 @@ - # Provalo in Excel ## Istruzioni diff --git a/translations/it/3-Data-Visualization/12-visualization-relationships/README.md b/translations/it/3-Data-Visualization/12-visualization-relationships/README.md index afd9bf84..30dca934 100644 --- a/translations/it/3-Data-Visualization/12-visualization-relationships/README.md +++ b/translations/it/3-Data-Visualization/12-visualization-relationships/README.md @@ -1,12 +1,3 @@ - # Visualizzare le Relazioni: Tutto sul Miele 🍯 |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)| diff --git a/translations/it/3-Data-Visualization/12-visualization-relationships/assignment.md b/translations/it/3-Data-Visualization/12-visualization-relationships/assignment.md index 8047e929..06ef78e6 100644 --- a/translations/it/3-Data-Visualization/12-visualization-relationships/assignment.md +++ b/translations/it/3-Data-Visualization/12-visualization-relationships/assignment.md @@ -1,12 +1,3 @@ - # Esplora l'alveare ## Istruzioni diff --git a/translations/it/3-Data-Visualization/13-meaningful-visualizations/README.md b/translations/it/3-Data-Visualization/13-meaningful-visualizations/README.md index 06d96bf2..9085f825 100644 --- a/translations/it/3-Data-Visualization/13-meaningful-visualizations/README.md +++ b/translations/it/3-Data-Visualization/13-meaningful-visualizations/README.md @@ -1,12 +1,3 @@ - # Creare Visualizzazioni Significative |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)| diff --git a/translations/it/3-Data-Visualization/13-meaningful-visualizations/assignment.md b/translations/it/3-Data-Visualization/13-meaningful-visualizations/assignment.md index b960050b..1194162f 100644 --- a/translations/it/3-Data-Visualization/13-meaningful-visualizations/assignment.md +++ b/translations/it/3-Data-Visualization/13-meaningful-visualizations/assignment.md @@ -1,12 +1,3 @@ - # Crea la tua visualizzazione personalizzata ## Istruzioni diff --git a/translations/it/3-Data-Visualization/13-meaningful-visualizations/solution/README.md b/translations/it/3-Data-Visualization/13-meaningful-visualizations/solution/README.md index bea40b99..58907bf0 100644 --- a/translations/it/3-Data-Visualization/13-meaningful-visualizations/solution/README.md +++ b/translations/it/3-Data-Visualization/13-meaningful-visualizations/solution/README.md @@ -1,12 +1,3 @@ - # Progetto di visualizzazione dati Dangerous Liaisons Per iniziare, assicurati di avere NPM e Node installati e funzionanti sulla tua macchina. Installa le dipendenze (npm install) e poi esegui il progetto localmente (npm run serve): diff --git a/translations/it/3-Data-Visualization/13-meaningful-visualizations/starter/README.md b/translations/it/3-Data-Visualization/13-meaningful-visualizations/starter/README.md index 68ffcf49..350b5ff9 100644 --- a/translations/it/3-Data-Visualization/13-meaningful-visualizations/starter/README.md +++ b/translations/it/3-Data-Visualization/13-meaningful-visualizations/starter/README.md @@ -1,12 +1,3 @@ - # Progetto di visualizzazione dati Dangerous Liaisons Per iniziare, assicurati di avere NPM e Node installati e funzionanti sulla tua macchina. Installa le dipendenze (npm install) e poi esegui il progetto localmente (npm run serve): diff --git a/translations/it/3-Data-Visualization/R/09-visualization-quantities/README.md b/translations/it/3-Data-Visualization/R/09-visualization-quantities/README.md index a3bffc4e..2b4f2b53 100644 --- a/translations/it/3-Data-Visualization/R/09-visualization-quantities/README.md +++ b/translations/it/3-Data-Visualization/R/09-visualization-quantities/README.md @@ -1,12 +1,3 @@ - # Visualizzare le Quantità |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/09-Visualizing-Quantities.png)| |:---:| diff --git a/translations/it/3-Data-Visualization/R/09-visualization-quantities/assignment.md b/translations/it/3-Data-Visualization/R/09-visualization-quantities/assignment.md index 8c41d346..61efd067 100644 --- a/translations/it/3-Data-Visualization/R/09-visualization-quantities/assignment.md +++ b/translations/it/3-Data-Visualization/R/09-visualization-quantities/assignment.md @@ -1,12 +1,3 @@ - # Linee, Dispersioni e Barre ## Istruzioni diff --git a/translations/it/3-Data-Visualization/R/10-visualization-distributions/README.md b/translations/it/3-Data-Visualization/R/10-visualization-distributions/README.md index 5b40c8ae..56c74461 100644 --- a/translations/it/3-Data-Visualization/R/10-visualization-distributions/README.md +++ b/translations/it/3-Data-Visualization/R/10-visualization-distributions/README.md @@ -1,12 +1,3 @@ - # Visualizzare le distribuzioni |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/10-Visualizing-Distributions.png)| diff --git a/translations/it/3-Data-Visualization/R/10-visualization-distributions/assignment.md b/translations/it/3-Data-Visualization/R/10-visualization-distributions/assignment.md index a6df8e18..92b13724 100644 --- a/translations/it/3-Data-Visualization/R/10-visualization-distributions/assignment.md +++ b/translations/it/3-Data-Visualization/R/10-visualization-distributions/assignment.md @@ -1,12 +1,3 @@ - # Applica le tue competenze ## Istruzioni diff --git a/translations/it/3-Data-Visualization/R/11-visualization-proportions/README.md b/translations/it/3-Data-Visualization/R/11-visualization-proportions/README.md index 36d69350..b9eb271b 100644 --- a/translations/it/3-Data-Visualization/R/11-visualization-proportions/README.md +++ b/translations/it/3-Data-Visualization/R/11-visualization-proportions/README.md @@ -1,12 +1,3 @@ - # Visualizzare le Proporzioni |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/11-Visualizing-Proportions.png)| diff --git a/translations/it/3-Data-Visualization/R/12-visualization-relationships/README.md b/translations/it/3-Data-Visualization/R/12-visualization-relationships/README.md index 7604c7df..326470c2 100644 --- a/translations/it/3-Data-Visualization/R/12-visualization-relationships/README.md +++ b/translations/it/3-Data-Visualization/R/12-visualization-relationships/README.md @@ -1,12 +1,3 @@ - # Visualizzare le Relazioni: Tutto sul Miele 🍯 |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/12-Visualizing-Relationships.png)| diff --git a/translations/it/3-Data-Visualization/R/13-meaningful-vizualizations/README.md b/translations/it/3-Data-Visualization/R/13-meaningful-vizualizations/README.md index dd5ddcb8..760c141b 100644 --- a/translations/it/3-Data-Visualization/R/13-meaningful-vizualizations/README.md +++ b/translations/it/3-Data-Visualization/R/13-meaningful-vizualizations/README.md @@ -1,12 +1,3 @@ - # Creare Visualizzazioni Significative |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/13-MeaningfulViz.png)| diff --git a/translations/it/3-Data-Visualization/README.md b/translations/it/3-Data-Visualization/README.md index e88c1d29..99656afc 100644 --- a/translations/it/3-Data-Visualization/README.md +++ b/translations/it/3-Data-Visualization/README.md @@ -1,12 +1,3 @@ - # Visualizzazioni ![un'ape su un fiore di lavanda](../../../translated_images/it/bee.0aa1d91132b12e3a8994b9ca12816d05ce1642010d9b8be37f8d37365ba845cf.jpg) diff --git a/translations/it/4-Data-Science-Lifecycle/14-Introduction/README.md b/translations/it/4-Data-Science-Lifecycle/14-Introduction/README.md index b8f817ef..5d6e6589 100644 --- a/translations/it/4-Data-Science-Lifecycle/14-Introduction/README.md +++ b/translations/it/4-Data-Science-Lifecycle/14-Introduction/README.md @@ -1,12 +1,3 @@ - # Introduzione al Ciclo di Vita della Data Science |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/14-DataScience-Lifecycle.png)| diff --git a/translations/it/4-Data-Science-Lifecycle/14-Introduction/assignment.md b/translations/it/4-Data-Science-Lifecycle/14-Introduction/assignment.md index 224940d2..3c5b1030 100644 --- a/translations/it/4-Data-Science-Lifecycle/14-Introduction/assignment.md +++ b/translations/it/4-Data-Science-Lifecycle/14-Introduction/assignment.md @@ -1,12 +1,3 @@ - # Valutare un Dataset Un cliente si è rivolto al tuo team per ricevere aiuto nell'analisi delle abitudini stagionali di spesa dei clienti dei taxi a New York City. diff --git a/translations/it/4-Data-Science-Lifecycle/15-analyzing/README.md b/translations/it/4-Data-Science-Lifecycle/15-analyzing/README.md index d71d5e22..06b38f35 100644 --- a/translations/it/4-Data-Science-Lifecycle/15-analyzing/README.md +++ b/translations/it/4-Data-Science-Lifecycle/15-analyzing/README.md @@ -1,12 +1,3 @@ - # Il ciclo di vita della Data Science: Analisi |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/15-Analyzing.png)| diff --git a/translations/it/4-Data-Science-Lifecycle/15-analyzing/assignment.md b/translations/it/4-Data-Science-Lifecycle/15-analyzing/assignment.md index be787cee..0137adbf 100644 --- a/translations/it/4-Data-Science-Lifecycle/15-analyzing/assignment.md +++ b/translations/it/4-Data-Science-Lifecycle/15-analyzing/assignment.md @@ -1,12 +1,3 @@ - # Esplorare per trovare risposte Questa è una continuazione del [compito](../14-Introduction/assignment.md) della lezione precedente, in cui abbiamo dato un'occhiata veloce al set di dati. Ora esamineremo i dati in modo più approfondito. diff --git a/translations/it/4-Data-Science-Lifecycle/16-communication/README.md b/translations/it/4-Data-Science-Lifecycle/16-communication/README.md index 377a3401..3a948945 100644 --- a/translations/it/4-Data-Science-Lifecycle/16-communication/README.md +++ b/translations/it/4-Data-Science-Lifecycle/16-communication/README.md @@ -1,12 +1,3 @@ - # Il Ciclo di Vita della Data Science: Comunicazione |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev)](../../sketchnotes/16-Communicating.png)| diff --git a/translations/it/4-Data-Science-Lifecycle/16-communication/assignment.md b/translations/it/4-Data-Science-Lifecycle/16-communication/assignment.md index 80d4be73..6e4b4584 100644 --- a/translations/it/4-Data-Science-Lifecycle/16-communication/assignment.md +++ b/translations/it/4-Data-Science-Lifecycle/16-communication/assignment.md @@ -1,12 +1,3 @@ - # Racconta una storia ## Istruzioni diff --git a/translations/it/4-Data-Science-Lifecycle/README.md b/translations/it/4-Data-Science-Lifecycle/README.md index 3ae81bdd..3bf2e098 100644 --- a/translations/it/4-Data-Science-Lifecycle/README.md +++ b/translations/it/4-Data-Science-Lifecycle/README.md @@ -1,12 +1,3 @@ - # Il ciclo di vita della Data Science ![comunicazione](../../../translated_images/it/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.jpg) diff --git a/translations/it/5-Data-Science-In-Cloud/17-Introduction/README.md b/translations/it/5-Data-Science-In-Cloud/17-Introduction/README.md index 17c3aaeb..e9ff0863 100644 --- a/translations/it/5-Data-Science-In-Cloud/17-Introduction/README.md +++ b/translations/it/5-Data-Science-In-Cloud/17-Introduction/README.md @@ -1,12 +1,3 @@ - # Introduzione alla Data Science nel Cloud |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)| diff --git a/translations/it/5-Data-Science-In-Cloud/17-Introduction/assignment.md b/translations/it/5-Data-Science-In-Cloud/17-Introduction/assignment.md index e8f60d16..6d3fbd80 100644 --- a/translations/it/5-Data-Science-In-Cloud/17-Introduction/assignment.md +++ b/translations/it/5-Data-Science-In-Cloud/17-Introduction/assignment.md @@ -1,12 +1,3 @@ - # Ricerca di Mercato ## Istruzioni diff --git a/translations/it/5-Data-Science-In-Cloud/18-Low-Code/README.md b/translations/it/5-Data-Science-In-Cloud/18-Low-Code/README.md index a2acd3be..fcadcaeb 100644 --- a/translations/it/5-Data-Science-In-Cloud/18-Low-Code/README.md +++ b/translations/it/5-Data-Science-In-Cloud/18-Low-Code/README.md @@ -1,12 +1,3 @@ - # Data Science nel Cloud: Il metodo "Low code/No code" |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/18-DataScience-Cloud.png)| diff --git a/translations/it/5-Data-Science-In-Cloud/18-Low-Code/assignment.md b/translations/it/5-Data-Science-In-Cloud/18-Low-Code/assignment.md index 2694a89e..14f8cf59 100644 --- a/translations/it/5-Data-Science-In-Cloud/18-Low-Code/assignment.md +++ b/translations/it/5-Data-Science-In-Cloud/18-Low-Code/assignment.md @@ -1,12 +1,3 @@ - # Progetto di Data Science Low code/No code su Azure ML ## Istruzioni diff --git a/translations/it/5-Data-Science-In-Cloud/19-Azure/README.md b/translations/it/5-Data-Science-In-Cloud/19-Azure/README.md index 02a333b3..2a67f71b 100644 --- a/translations/it/5-Data-Science-In-Cloud/19-Azure/README.md +++ b/translations/it/5-Data-Science-In-Cloud/19-Azure/README.md @@ -1,12 +1,3 @@ - # Data Science nel Cloud: Il metodo "Azure ML SDK" |![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/19-DataScience-Cloud.png)| diff --git a/translations/it/5-Data-Science-In-Cloud/19-Azure/assignment.md b/translations/it/5-Data-Science-In-Cloud/19-Azure/assignment.md index f3574313..b38664f7 100644 --- a/translations/it/5-Data-Science-In-Cloud/19-Azure/assignment.md +++ b/translations/it/5-Data-Science-In-Cloud/19-Azure/assignment.md @@ -1,12 +1,3 @@ - # Progetto di Data Science con Azure ML SDK ## Istruzioni diff --git a/translations/it/5-Data-Science-In-Cloud/README.md b/translations/it/5-Data-Science-In-Cloud/README.md index 47928a95..25751e0d 100644 --- a/translations/it/5-Data-Science-In-Cloud/README.md +++ b/translations/it/5-Data-Science-In-Cloud/README.md @@ -1,12 +1,3 @@ - # Data Science nel Cloud ![cloud-picture](../../../translated_images/it/cloud-picture.f5526de3c6c6387b2d656ba94f019b3352e5e3854a78440e4fb00c93e2dea675.jpg) diff --git a/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/README.md b/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/README.md index 2735ad03..1e76537e 100644 --- a/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/README.md +++ b/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/README.md @@ -1,12 +1,3 @@ - # Data Science nel Mondo Reale | ![ Sketchnote di [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png) | diff --git a/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md b/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md index 829f1ff4..ac272c1f 100644 --- a/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md +++ b/translations/it/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md @@ -1,12 +1,3 @@ - # Esplora un Dataset del Planetary Computer ## Istruzioni diff --git a/translations/it/6-Data-Science-In-Wild/README.md b/translations/it/6-Data-Science-In-Wild/README.md index f318dde0..bf9dbcc7 100644 --- a/translations/it/6-Data-Science-In-Wild/README.md +++ b/translations/it/6-Data-Science-In-Wild/README.md @@ -1,12 +1,3 @@ - # Data Science nel Mondo Reale Applicazioni pratiche della data science in diversi settori. diff --git a/translations/it/AGENTS.md b/translations/it/AGENTS.md index 6a586a3a..6cc77334 100644 --- a/translations/it/AGENTS.md +++ b/translations/it/AGENTS.md @@ -1,12 +1,3 @@ - # AGENTS.md ## Panoramica del Progetto diff --git a/translations/it/CODE_OF_CONDUCT.md b/translations/it/CODE_OF_CONDUCT.md index d74e8ddd..a7b62e17 100644 --- a/translations/it/CODE_OF_CONDUCT.md +++ b/translations/it/CODE_OF_CONDUCT.md @@ -1,12 +1,3 @@ - # Codice di Condotta per l'Open Source di Microsoft Questo progetto ha adottato il [Codice di Condotta per l'Open Source di Microsoft](https://opensource.microsoft.com/codeofconduct/). diff --git a/translations/it/CONTRIBUTING.md b/translations/it/CONTRIBUTING.md index 0f04c464..33de730a 100644 --- a/translations/it/CONTRIBUTING.md +++ b/translations/it/CONTRIBUTING.md @@ -1,12 +1,3 @@ - # Contribuire a Data Science for Beginners Grazie per il tuo interesse nel contribuire al curriculum di Data Science for Beginners! Accogliamo con piacere i contributi della comunità. diff --git a/translations/it/INSTALLATION.md b/translations/it/INSTALLATION.md index e1cd28a5..3d2bf37a 100644 --- a/translations/it/INSTALLATION.md +++ b/translations/it/INSTALLATION.md @@ -1,12 +1,3 @@ - # Guida all'Installazione Questa guida ti aiuterà a configurare l'ambiente per lavorare con il curriculum "Data Science for Beginners". diff --git a/translations/it/README.md b/translations/it/README.md index f3541804..923a61ac 100644 --- a/translations/it/README.md +++ b/translations/it/README.md @@ -1,12 +1,3 @@ - # Data Science per Principianti - Un Curriculum [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198) @@ -26,76 +17,76 @@ CO_OP_TRANSLATOR_METADATA: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) -Gli Azure Cloud Advocates di Microsoft sono lieti di offrire un curriculum di 10 settimane, con 20 lezioni, tutto dedicato alla Data Science. Ogni lezione include quiz pre-lezione e post-lezione, istruzioni scritte per completare la lezione, una soluzione e un compito. La nostra pedagogia basata su progetti permette di imparare costruendo, un modo comprovato per far 'assorbire' nuove competenze. +Gli Azure Cloud Advocates di Microsoft sono lieti di offrire un curriculum di 10 settimane, 20 lezioni tutto dedicato alla Data Science. Ogni lezione include quiz pre-lezione e post-lezione, istruzioni scritte per completare la lezione, una soluzione e un compito. La nostra pedagogia basata su progetti permette di imparare costruendo, un modo provato per far sì che le nuove competenze "rimangano". -**Un sentito ringraziamento ai nostri autori:** [Jasmine Greenaway](https://www.twitter.com/paladique), [Dmitry Soshnikov](http://soshnikov.com), [Nitya Narasimhan](https://twitter.com/nitya), [Jalen McGee](https://twitter.com/JalenMcG), [Jen Looper](https://twitter.com/jenlooper), [Maud Levy](https://twitter.com/maudstweets), [Tiffany Souterre](https://twitter.com/TiffanySouterre), [Christopher Harrison](https://www.twitter.com/geektrainer). +**Un sentito grazie ai nostri autori:** [Jasmine Greenaway](https://www.twitter.com/paladique), [Dmitry Soshnikov](http://soshnikov.com), [Nitya Narasimhan](https://twitter.com/nitya), [Jalen McGee](https://twitter.com/JalenMcG), [Jen Looper](https://twitter.com/jenlooper), [Maud Levy](https://twitter.com/maudstweets), [Tiffany Souterre](https://twitter.com/TiffanySouterre), [Christopher Harrison](https://www.twitter.com/geektrainer). -**🙏 Ringraziamenti speciali 🙏 ai nostri autori, revisori e contributori di contenuti, [Microsoft Student Ambassador](https://studentambassadors.microsoft.com/),** in particolare Aaryan Arora, [Aditya Garg](https://github.com/AdityaGarg00), [Alondra Sanchez](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankita Singh](https://www.linkedin.com/in/ankitasingh007), [Anupam Mishra](https://www.linkedin.com/in/anupam--mishra/), [Arpita Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishita Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majd Safi](https://www.linkedin.com/in/majd-s/), [Max Blum](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguel Correa](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalal](https://twitter.com/iftu119), [Nawrin Tabassum](https://www.linkedin.com/in/nawrin-tabassum), [Raymond Wangsa Putra](https://www.linkedin.com/in/raymond-wp/), [Rohit Yadav](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanya Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200), +**🙏 Ringraziamenti speciali 🙏 ai nostri autori, revisori e contributori di contenuti [Microsoft Student Ambassador](https://studentambassadors.microsoft.com/),** in particolare Aaryan Arora, [Aditya Garg](https://github.com/AdityaGarg00), [Alondra Sanchez](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankita Singh](https://www.linkedin.com/in/ankitasingh007), [Anupam Mishra](https://www.linkedin.com/in/anupam--mishra/), [Arpita Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishita Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majd Safi](https://www.linkedin.com/in/majd-s/), [Max Blum](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguel Correa](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalal](https://twitter.com/iftu119), [Nawrin Tabassum](https://www.linkedin.com/in/nawrin-tabassum), [Raymond Wangsa Putra](https://www.linkedin.com/in/raymond-wp/), [Rohit Yadav](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanya Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200), [Sheena Narula](https://www.linkedin.com/in/sheena-narua-n/), [Tauqeer Ahmad](https://www.linkedin.com/in/tauqeerahmad5201/), Yogendrasingh Pawar , [Vidushi Gupta](https://www.linkedin.com/in/vidushi-gupta07/), [Jasleen Sondhi](https://www.linkedin.com/in/jasleen-sondhi/) -|![Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/it/00-Title.8af36cd35da1ac55.webp)| +|![Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../translated_images/it/00-Title.8af36cd35da1ac55.webp)| |:---:| -| Data Science Per Principianti - _Sketchnote di [@nitya](https://twitter.com/nitya)_ | +| Data Science per Principianti - _Sketchnote di [@nitya](https://twitter.com/nitya)_ | ### 🌐 Supporto Multilingue -#### Supportato tramite GitHub Action (Automatico e Sempre Aggiornato) +#### Supportato tramite GitHub Action (Automatizzato e Sempre Aggiornato) -[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](./README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](./README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) -> **Preferisci Clonare Localmente?** +> **Preferisci clonare localmente?** -> Questo repository include più di 50 traduzioni linguistiche che aumentano significativamente la dimensione del download. Per clonare senza traduzioni, usa sparse checkout: +> Questo repository include più di 50 traduzioni che aumentano significativamente la dimensione del download. Per clonare senza traduzioni, usa sparse checkout: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/Data-Science-For-Beginners.git > cd Data-Science-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Questo ti dà tutto il necessario per completare il corso con un download molto più veloce. +> Questo ti dà tutto il necessario per completare il corso con un download molto più rapido. -**Se desideri avere supporto per ulteriori lingue, quelle supportate sono elencate [qui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Se desideri avere supporto per ulteriori lingue di traduzione, le lingue supportate sono elencate [qui](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -#### Unisciti alla nostra Comunità +#### Unisciti alla nostra comunità [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Abbiamo in corso una serie Discord "Impara con l'AI", scopri di più e unisciti a noi su [Learn with AI Series](https://aka.ms/learnwithai/discord) dal 18 al 30 settembre 2025. Riceverai consigli e trucchi per usare GitHub Copilot per la Data Science. +Abbiamo in corso una serie su Discord "impara con l'AI", scopri di più e unisciti a noi su [Learn with AI Series](https://aka.ms/learnwithai/discord) dal 18 al 30 settembre 2025. Riceverai suggerimenti e trucchi sull'uso di GitHub Copilot per la Data Science. -![Learn with AI series](../../../../translated_images/it/1.2b28cdc6205e26fe.webp) +![Learn with AI series](../../translated_images/it/1.2b28cdc6205e26fe.webp) # Sei uno studente? Inizia con le seguenti risorse: -- [Pagina Student Hub](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) In questa pagina troverai risorse per principianti, pacchetti per studenti e anche modi per ottenere un voucher gratuito per la certificazione. Questa è una pagina che vorrai aggiungere ai preferiti e controllare di tanto in tanto poiché cambiamo il contenuto almeno mensilmente. -- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Unisciti a una comunità globale di ambasciatori studenteschi, questo potrebbe essere il tuo modo per entrare in Microsoft. +- [Pagina Student Hub](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) In questa pagina troverai risorse per principianti, pacchetti per studenti e persino modi per ottenere un voucher per la certificazione gratuito. Questa è una pagina che vuoi aggiungere ai preferiti e controllare di tanto in tanto, poiché aggiorniamo i contenuti almeno mensilmente. +- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Unisciti a una comunità globale di ambasciatori studenti, questo potrebbe essere il tuo modo per entrare in Microsoft. -# Iniziare +# Come iniziare ## 📚 Documentazione -- **[Guida all'Installazione](INSTALLATION.md)** - Istruzioni passo dopo passo per configurare l'ambiente per principianti -- **[Guida all'Uso](USAGE.md)** - Esempi e flussi di lavoro comuni -- **[Risoluzione Problemi](TROUBLESHOOTING.md)** - Soluzioni ai problemi comuni -- **[Guida alla Contribuzione](CONTRIBUTING.md)** - Come contribuire a questo progetto -- **[Per Insegnanti](for-teachers.md)** - Indicazioni didattiche e risorse per la classe +- **[Guida all'installazione](INSTALLATION.md)** - Istruzioni passo-passo per principianti +- **[Guida all'uso](USAGE.md)** - Esempi e flussi di lavoro comuni +- **[Risoluzione dei problemi](TROUBLESHOOTING.md)** - Soluzioni ai problemi comuni +- **[Guida alla contribuzione](CONTRIBUTING.md)** - Come contribuire a questo progetto +- **[Per insegnanti](for-teachers.md)** - Indicazioni didattiche e risorse per la classe -## 👨‍🎓 Per gli Studenti -> **Principianti Completi**: Nuovo nel campo della data science? Inizia con i nostri [esempi per principianti](examples/README.md)! Questi esempi semplici e ben commentati ti aiuteranno a comprendere le basi prima di affrontare l'intero curriculum. -> **[Studenti](https://aka.ms/student-page)**: per usare questo curriculum autonomamente, fai il fork dell'intero repository e completa gli esercizi da solo, iniziando con un quiz pre-lezione. Poi leggi la lezione e completa il resto delle attività. Cerca di creare i progetti comprendendo le lezioni piuttosto che copiando il codice della soluzione; tuttavia, questo codice è disponibile nelle cartelle /solutions in ogni lezione orientata al progetto. Un'altra idea potrebbe essere formare un gruppo di studio con amici e affrontare i contenuti insieme. Per ulteriori studi, raccomandiamo [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum). +## 👨‍🎓 Per studenti +> **Principianti assoluti**: Nuovo alla data science? Inizia con i nostri [esempi per principianti](examples/README.md)! Questi esempi semplici e ben commentati ti aiuteranno a comprendere le basi prima di immergerti nel curriculum completo. +> **[Studenti](https://aka.ms/student-page)**: per usare questo curriculum da soli, fai il fork del repository completo e completa gli esercizi in autonomia, iniziando con un quiz pre-lezione. Poi leggi la lezione e completa il resto delle attività. Cerca di creare i progetti comprendendo le lezioni più che copiando il codice soluzione; comunque quel codice è disponibile nelle cartelle /solutions di ogni lezione orientata al progetto. Un’altra idea potrebbe essere formare un gruppo di studio con amici e affrontare insieme i contenuti. Per ulteriori approfondimenti, consigliamo [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum). **Avvio rapido:** -1. Consulta la [Guida all'Installazione](INSTALLATION.md) per configurare il tuo ambiente -2. Rivedi la [Guida all'Uso](USAGE.md) per imparare a lavorare con il curriculum -3. Inizia dalla Lezione 1 e procedi in ordine -4. Unisciti alla nostra [community Discord](https://aka.ms/ds4beginners/discord) per supporto +1. Consulta la [Guida all'installazione](INSTALLATION.md) per configurare l'ambiente +2. Revisione della [Guida all'uso](USAGE.md) per imparare come lavorare con il curriculum +3. Inizia con la Lezione 1 e procedi sequenzialmente +4. Unisciti alla nostra [comunità Discord](https://aka.ms/ds4beginners/discord) per supporto -## 👩‍🏫 Per gli Insegnanti - -> **Insegnanti**: abbiamo [incluso alcuni suggerimenti](for-teachers.md) su come utilizzare questo curriculum. Ci piacerebbe ricevere il vostro feedback [nel nostro forum di discussione](https://github.com/microsoft/Data-Science-For-Beginners/discussions)! +## 👩‍🏫 Per insegnanti +> **Insegnanti**: abbiamo [incluso alcuni suggerimenti](for-teachers.md) su come usare questo curriculum. Ci piacerebbe ricevere il tuo feedback [nel nostro forum di discussione](https://github.com/microsoft/Data-Science-For-Beginners/discussions)! ## Incontra il Team + [![Video promozionale](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Video promozionale") **Gif di** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal) @@ -104,11 +95,11 @@ Inizia con le seguenti risorse: ## Pedagogia -Abbiamo scelto due principi pedagogici durante la creazione di questo curriculum: assicurare che sia basato su progetti e che includa quiz frequenti. Al termine di questa serie, gli studenti avranno appreso i principi base della data science, compresi i concetti etici, la preparazione dei dati, diversi modi di lavorare con i dati, la visualizzazione dei dati, l'analisi dei dati, casi d'uso reali della data science e altro ancora. +Abbiamo scelto due principi pedagogici durante la costruzione di questo curriculum: assicurare che sia basato su progetti e che includa quiz frequenti. Alla fine di questa serie, gli studenti avranno appreso i principi base della scienza dei dati, inclusi concetti etici, preparazione dei dati, diversi modi di lavorare con i dati, visualizzazione dei dati, analisi dei dati, casi d'uso reali della scienza dei dati e altro. -Inoltre, un quiz a basso rischio prima della lezione permette allo studente di orientarsi verso l'apprendimento di un argomento, mentre un secondo quiz dopo la lezione ne garantisce una ulteriore ritenzione. Questo curriculum è stato progettato per essere flessibile e divertente e può essere seguito integralmente o in parte. I progetti iniziano con esempi semplici e diventano sempre più complessi entro la fine del ciclo di 10 settimane. +Inoltre, un quiz a basso impatto prima di una lezione stabilisce l'intenzione dello studente verso l'apprendimento di un argomento, mentre un secondo quiz dopo la lezione assicura una maggiore ritenzione. Questo curriculum è stato progettato per essere flessibile e divertente e può essere seguito interamente o parzialmente. I progetti partono da livelli semplici e diventano sempre più complessi entro la fine del ciclo di 10 settimane. -> Trova il nostro [Codice di Condotta](CODE_OF_CONDUCT.md), le linee guida per [Contributi](CONTRIBUTING.md), [Traduzioni](TRANSLATIONS.md). Accogliamo volentieri i tuoi feedback costruttivi! +> Trova il nostro [Codice di Condotta](CODE_OF_CONDUCT.md), le linee guida per il [Contributo](CONTRIBUTING.md), la [Traduzione](TRANSLATIONS.md). Accogliamo con piacere i tuoi feedback costruttivi! ## Ogni lezione include: @@ -116,23 +107,23 @@ Inoltre, un quiz a basso rischio prima della lezione permette allo studente di o - Video supplementare opzionale - Quiz di riscaldamento pre-lezione - Lezione scritta -- Per le lezioni basate su progetti, guide passo-passo su come costruire il progetto +- Per le lezioni basate su progetti, guide passo passo su come costruire il progetto - Verifiche di conoscenza - Una sfida -- Letture supplementari +- Lettura supplementare - Compito - [Quiz post-lezione](https://ff-quizzes.netlify.app/en/) -> **Una nota sui quiz**: Tutti i quiz sono contenuti nella cartella Quiz-App, per un totale di 40 quiz con tre domande ciascuno. Sono linkati all'interno delle lezioni, ma l'app quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. Stanno venendo progressivamente localizzati. +> **Una nota sui quiz**: Tutti i quiz si trovano nella cartella Quiz-App, per un totale di 40 quiz da tre domande ciascuno. Sono collegati all’interno delle lezioni, ma l’app quiz può essere eseguita localmente o distribuita su Azure; segui le istruzioni nella cartella `quiz-app`. Sono progressivamente localizzati. -## 🎓 Esempi per principianti +## 🎓 Esempi per Principianti -**Nuovo nella Data Science?** Abbiamo creato una speciale [cartella di esempi](examples/README.md) con codice semplice e ben commentato per aiutarti a iniziare: +**Nuovo nella Scienza dei Dati?** Abbiamo creato una speciale [directory di esempi](examples/README.md) con codice semplice e ben commentato per aiutarti a iniziare: -- 🌟 **Hello World** - Il tuo primo programma di data science -- 📂 **Caricamento dei Dati** - Impara a leggere e esplorare i dataset -- 📊 **Analisi Semplice** - Calcola statistiche e scopri modelli -- 📈 **Visualizzazione Base** - Crea grafici e diagrammi +- 🌟 **Hello World** - Il tuo primo programma di scienza dei dati +- 📂 **Caricamento Dati** - Impara a leggere ed esplorare dataset +- 📊 **Analisi Semplice** - Calcola statistiche e trova modelli +- 📈 **Visualizzazione Base** - Crea grafici e tabelle - 🔬 **Progetto Reale** - Workflow completo dall'inizio alla fine Ogni esempio include commenti dettagliati che spiegano ogni passaggio, perfetto per principianti assoluti! @@ -142,78 +133,78 @@ Ogni esempio include commenti dettagliati che spiegano ogni passaggio, perfetto ## Lezioni -|![ Sketchnote di @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/it/00-Roadmap.4905d6567dff4753.webp)| +|![ Sketchnote di @sketchthedocs https://sketchthedocs.dev](../../translated_images/it/00-Roadmap.4905d6567dff4753.webp)| |:---:| -| Data Science Per Principianti: Roadmap - _Sketchnote di [@nitya](https://twitter.com/nitya)_ | +| Scienza dei Dati per Principianti: Roadmap - _Sketchnote di [@nitya](https://twitter.com/nitya)_ | | Numero Lezione | Argomento | Raggruppamento Lezione | Obiettivi di Apprendimento | Lezione Collegata | Autore | | :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: | -| 01 | Definire la Data Science | [Introduzione](1-Introduction/README.md) | Impara i concetti base dietro la data science e come è correlata all'intelligenza artificiale, al machine learning e ai big data. | [lezione](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) | -| 02 | Etica nella Data Science | [Introduzione](1-Introduction/README.md) | Concetti, sfide e framework di etica dei dati. | [lezione](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) | -| 03 | Definire i Dati | [Introduzione](1-Introduction/README.md) | Come i dati sono classificati e le loro fonti comuni. | [lezione](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) | -| 04 | Introduzione a Statistica e Probabilità | [Introduzione](1-Introduction/README.md) | Le tecniche matematiche di probabilità e statistica per comprendere i dati. | [lezione](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | -| 05 | Lavorare con Dati Relazionali | [Lavorare con i Dati](2-Working-With-Data/README.md) | Introduzione ai dati relazionali e le basi dell'esplorazione e analisi di dati relazionali con il Structured Query Language, noto anche come SQL (pronunciato “see-quell”). | [lezione](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | -| 06 | Lavorare con Dati NoSQL | [Lavorare con i Dati](2-Working-With-Data/README.md) | Introduzione ai dati non relazionali, i loro vari tipi e le basi per esplorare e analizzare database di documenti. | [lezione](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)| -| 07 | Lavorare con Python | [Lavorare con i Dati](2-Working-With-Data/README.md) | Nozioni base sull'uso di Python per l'esplorazione dei dati con librerie come Pandas. Si raccomanda una conoscenza di base della programmazione Python. | [lezione](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | -| 08 | Preparazione dei Dati | [Lavorare con i Dati](2-Working-With-Data/README.md) | Argomenti su tecniche di pulizia e trasformazione dei dati per gestire sfide di dati mancanti, inaccurati o incompleti. | [lezione](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | -| 09 | Visualizzazione delle Quantità | [Visualizzazione dei Dati](3-Data-Visualization/README.md) | Impara come usare Matplotlib per visualizzare dati sugli uccelli 🦆 | [lezione](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | -| 10 | Visualizzazione delle Distribuzioni di Dati | [Visualizzazione dei Dati](3-Data-Visualization/README.md) | Visualizzazione di osservazioni e tendenze all'interno di un intervallo. | [lezione](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) | -| 11 | Visualizzazione delle Proporzioni | [Visualizzazione dei Dati](3-Data-Visualization/README.md) | Visualizzazione di percentuali discrete e raggruppate. | [lezione](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) | -| 12 | Visualizzazione delle Relazioni | [Visualizzazione dei Dati](3-Data-Visualization/README.md) | Visualizzazione di connessioni e correlazioni tra insiemi di dati e delle loro variabili. | [lezione](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) | -| 13 | Visualizzazioni Significative | [Visualizzazione dei Dati](3-Data-Visualization/README.md) | Tecniche e indicazioni per rendere le tue visualizzazioni preziose per una risoluzione efficace dei problemi e per ottenere insight. | [lezione](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | -| 14 | Introduzione al ciclo di vita della Data Science | [Ciclo di vita](4-Data-Science-Lifecycle/README.md) | Introduzione al ciclo di vita della data science e al suo primo passo di acquisizione ed estrazione dei dati. | [lezione](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | -| 15 | Analisi | [Ciclo di vita](4-Data-Science-Lifecycle/README.md) | Questa fase del ciclo di vita della data science si concentra sulle tecniche per analizzare i dati. | [lezione](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | -| 16 | Comunicazione | [Ciclo di vita](4-Data-Science-Lifecycle/README.md) | Questa fase del ciclo di vita della data science si concentra sulla presentazione degli insight dai dati in modo che sia più facile per i decisori comprenderli. | [lezione](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | -| 17 | Data Science nel Cloud | [Dati Cloud](5-Data-Science-In-Cloud/README.md) | Questa serie di lezioni introduce la data science nel cloud e i suoi benefici. | [lezione](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) e [Maud](https://twitter.com/maudstweets) | -| 18 | Data Science nel Cloud | [Dati Cloud](5-Data-Science-In-Cloud/README.md) | Addestrare modelli usando strumenti Low Code. |[lezione](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) e [Maud](https://twitter.com/maudstweets) | -| 19 | Data Science nel Cloud | [Dati Cloud](5-Data-Science-In-Cloud/README.md) | Distribuzione di modelli con Azure Machine Learning Studio. | [lezione](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) e [Maud](https://twitter.com/maudstweets) | -| 20 | Data Science sul campo | [Nel campo](6-Data-Science-In-Wild/README.md) | Progetti guidati dalla data science nel mondo reale. | [lezione](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | +| 01 | Definizione di Scienza dei Dati | [Introduzione](1-Introduction/README.md) | Impara i concetti base della scienza dei dati e come si relaziona con intelligenza artificiale, machine learning e big data. | [lezione](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) | +| 02 | Etica nella Scienza dei Dati | [Introduzione](1-Introduction/README.md) | Concetti, sfide e framework dell’etica dei dati. | [lezione](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) | +| 03 | Definizione di Dati | [Introduzione](1-Introduction/README.md) | Come i dati sono classificati e le loro fonti comuni. | [lezione](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) | +| 04 | Introduzione a Statistica e Probabilità | [Introduzione](1-Introduction/README.md) | Le tecniche matematiche della probabilità e della statistica per comprendere i dati. | [lezione](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | +| 05 | Lavorare con Dati Relazionali | [Lavorare con i Dati](2-Working-With-Data/README.md) | Introduzione ai dati relazionali e le basi dell'esplorazione e analisi con il Structured Query Language, noto come SQL (pronunciato “see-quell”). | [lezione](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | +| 06 | Lavorare con Dati NoSQL | [Lavorare con i Dati](2-Working-With-Data/README.md) | Introduzione ai dati non relazionali, i suoi vari tipi e le basi dell'esplorazione e analisi di database di documenti. | [lezione](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)| +| 07 | Lavorare con Python | [Lavorare con i Dati](2-Working-With-Data/README.md) | Basi dell'uso di Python per l'esplorazione dei dati con librerie come Pandas. Si raccomanda una comprensione base della programmazione Python. | [lezione](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | +| 08 | Preparazione dei Dati | [Lavorare con i Dati](2-Working-With-Data/README.md) | Temi relativi a tecniche di pulizia e trasformazione dei dati per affrontare sfide di dati mancanti, inaccurati o incompleti. | [lezione](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | +| 09 | Visualizzazione di Quantità | [Data Visualization](3-Data-Visualization/README.md) | Impara a usare Matplotlib per visualizzare dati ornitologici 🦆 | [lezione](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | +| 10 | Visualizzare Distribuzioni di Dati | [Data Visualization](3-Data-Visualization/README.md) | Visualizzare osservazioni e tendenze all’interno di un intervallo. | [lezione](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) | +| 11 | Visualizzare Proporzioni | [Data Visualization](3-Data-Visualization/README.md) | Visualizzare percentuali discrete e raggruppate. | [lezione](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) | +| 12 | Visualizzare Relazioni | [Data Visualization](3-Data-Visualization/README.md) | Visualizzare connessioni e correlazioni tra insiemi di dati e variabili. | [lezione](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) | +| 13 | Visualizzazioni Significative | [Data Visualization](3-Data-Visualization/README.md) | Tecniche e indicazioni per rendere le tue visualizzazioni preziose per una risoluzione efficace dei problemi e approfondimenti. | [lezione](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | +| 14 | Introduzione al ciclo di vita della Scienza dei Dati | [Lifecycle](4-Data-Science-Lifecycle/README.md) | Introduzione al ciclo di vita della scienza dei dati e il suo primo passo di acquisizione ed estrazione dei dati. | [lezione](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | +| 15 | Analisi | [Lifecycle](4-Data-Science-Lifecycle/README.md) | Questa fase del ciclo di vita della scienza dei dati si concentra sulle tecniche per analizzare i dati. | [lezione](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | +| 16 | Comunicazione | [Lifecycle](4-Data-Science-Lifecycle/README.md) | Questa fase del ciclo di vita della scienza dei dati si concentra sul presentare gli insight dai dati in modo che sia più facile per i decisori comprendere. | [lezione](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | +| 17 | Scienza dei Dati nel Cloud | [Cloud Data](5-Data-Science-In-Cloud/README.md) | Questa serie di lezioni introduce la scienza dei dati nel cloud e i suoi vantaggi. | [lezione](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) e [Maud](https://twitter.com/maudstweets) | +| 18 | Scienza dei Dati nel Cloud | [Cloud Data](5-Data-Science-In-Cloud/README.md) | Addestramento modelli usando strumenti Low Code. |[lezione](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) e [Maud](https://twitter.com/maudstweets) | +| 19 | Scienza dei Dati nel Cloud | [Cloud Data](5-Data-Science-In-Cloud/README.md) | Distribuzione dei modelli con Azure Machine Learning Studio. | [lezione](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) e [Maud](https://twitter.com/maudstweets) | +| 20 | Scienza dei Dati nel Mondo Reale | [In the Wild](6-Data-Science-In-Wild/README.md) | Progetti di scienza dei dati nel mondo reale. | [lezione](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | ## GitHub Codespaces Segui questi passaggi per aprire questo esempio in un Codespace: -1. Clicca sul menu a discesa Code e seleziona l'opzione Open with Codespaces. +1. Clicca sul menu a tendina Code e seleziona l'opzione Open with Codespaces. 2. Seleziona + New codespace in fondo al pannello. -Per maggiori informazioni, consulta la [documentazione GitHub](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace). +Per ulteriori informazioni, consulta la [documentazione GitHub](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace). ## VSCode Remote - Containers -Segui questi passaggi per aprire questo repo in un container usando la tua macchina locale e VSCode con l'estensione VS Code Remote - Containers: +Segui questi passaggi per aprire questo repo in un container usando la tua macchina locale e VSCode con l’estensione VS Code Remote - Containers: -1. Se è la prima volta che usi un container di sviluppo, assicurati che il tuo sistema soddisfi i prerequisiti (ad esempio, avere Docker installato) nella [documentazione di avvio](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started). +1. Se è la prima volta che usi un container di sviluppo, assicurati che il sistema soddisfi i prerequisiti (cioè avere Docker installato) nella [documentazione per iniziare](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started). -Per usare questo repository, puoi aprirlo in un volume Docker isolato: +Per usare questo repository, puoi o aprire il repository in un volume Docker isolato: -**Nota**: Sotto il cofano, questo userà il comando Remote-Containers: **Clone Repository in Container Volume...** per clonare il codice sorgente in un volume Docker anziché nel filesystem locale. I [volumi](https://docs.docker.com/storage/volumes/) sono il meccanismo preferito per persistere dati del container. +**Nota**: Dietro le quinte, questo userà il comando Remote-Containers: **Clone Repository in Container Volume...** per clonare il codice sorgente in un volume Docker invece che nel filesystem locale. I [volumi](https://docs.docker.com/storage/volumes/) sono il meccanismo preferito per persistere dati del container. Oppure apri una copia clonata o scaricata localmente del repository: -- Clona questo repository sul tuo filesystem locale. +- Clona questo repository nel tuo filesystem locale. - Premi F1 e seleziona il comando **Remote-Containers: Open Folder in Container...**. -- Seleziona la copia clonata di questa cartella, aspetta che il container si avvii e inizia a usarlo. +- Seleziona la copia clonata di questa cartella, attendi l’avvio del container e prova. -## Accesso offline +## Accesso Offline -Puoi eseguire questa documentazione offline usando [Docsify](https://docsify.js.org/#/). Forka questo repo, [installa Docsify](https://docsify.js.org/#/quickstart) sulla tua macchina locale, poi nella cartella radice di questo repo, digita `docsify serve`. Il sito sarà servito sulla porta 3000 sul tuo localhost: `localhost:3000`. +Puoi eseguire questa documentazione offline usando [Docsify](https://docsify.js.org/#/). Fai il fork di questo repo, [installa Docsify](https://docsify.js.org/#/quickstart) sulla tua macchina locale, quindi nella cartella principale di questo repo, digita `docsify serve`. Il sito sarà servito sulla porta 3000 in locale: `localhost:3000`. -> Nota, i notebook non saranno renderizzati tramite Docsify, quindi quando devi eseguire un notebook, fallo separatamente in VS Code con un kernel Python. +> Nota, i notebook non saranno resi via Docsify, quindi quando devi eseguire un notebook, fallo separatamente in VS Code con un kernel Python attivo. ## Altri Curricula -Il nostro team produce altri curricula! Dai un'occhiata a: +Il nostro team produce altri curricula! Dai un’occhiata: ### LangChain -[![LangChain4j per Principianti](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) [![LangChain.js per Principianti](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agenti +### Azure / Edge / MCP / Agent [![AZD per Principianti](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI per Principianti](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP per Principianti](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Agenti AI per Principianti](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Agent AI per Principianti](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- @@ -225,38 +216,38 @@ Il nostro team produce altri curricula! Dai un'occhiata a: --- -### Apprendimento Fondamentale +### Apprendimento di Base [![ML per Principianti](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science per Principianti](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![AI per Principianti](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![Cybersecurity per Principianti](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Sviluppo Web per Principianti](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![Web Dev per Principianti](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) [![IoT per Principianti](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) [![Sviluppo XR per Principianti](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Serie Copilot -[![Copilot per Programmazione Assistita da AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot per Programmazione Affiancata AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot per C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [![Avventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Ottenere Aiuto +## Ottieni Aiuto **Hai problemi?** Consulta la nostra [Guida alla Risoluzione dei Problemi](TROUBLESHOOTING.md) per soluzioni ai problemi comuni. -Se rimani bloccato o hai domande sulla creazione di app AI, unisciti a altri studenti e sviluppatori esperti nelle discussioni su MCP. È una comunità di supporto dove le domande sono benvenute e la conoscenza viene condivisa liberamente. +Se rimani bloccato o hai domande sulla creazione di app AI. Unisciti ad altri studenti e sviluppatori esperti nelle discussioni su MCP. È una comunità di supporto dove le domande sono benvenute e la conoscenza viene condivisa liberamente. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Se hai feedback sul prodotto o errori durante lo sviluppo visita: +Se hai feedback sul prodotto o errori durante la creazione visita: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Disclaimer**: -Questo documento è stato tradotto utilizzando il servizio di traduzione automatica [Co-op Translator](https://github.com/Azure/co-op-translator). Pur impegnandoci per garantire la precisione, si prega di considerare che le traduzioni automatiche potrebbero contenere errori o imprecisioni. Il documento originale nella sua lingua nativa deve essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale effettuata da un esperto umano. Non siamo responsabili per eventuali incomprensioni o interpretazioni errate derivanti dall’uso di questa traduzione. +**Avvertenza**: +Questo documento è stato tradotto utilizzando il servizio di traduzione automatica [Co-op Translator](https://github.com/Azure/co-op-translator). Pur impegnandoci per garantire accuratezza, si prega di notare che le traduzioni automatiche possono contenere errori o imprecisioni. Il documento originale nella sua lingua originale deve essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale effettuata da un umano. Non ci assumiamo alcuna responsabilità per incomprensioni o interpretazioni errate derivanti dall’uso di questa traduzione. \ No newline at end of file diff --git a/translations/it/SECURITY.md b/translations/it/SECURITY.md index 9a580fa2..e1179a63 100644 --- a/translations/it/SECURITY.md +++ b/translations/it/SECURITY.md @@ -1,12 +1,3 @@ - ## Sicurezza Microsoft prende molto seriamente la sicurezza dei propri prodotti software e servizi, inclusi tutti i repository di codice sorgente gestiti attraverso le nostre organizzazioni GitHub, che includono [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin) e [le nostre organizzazioni GitHub](https://opensource.microsoft.com/). diff --git a/translations/it/SUPPORT.md b/translations/it/SUPPORT.md index 2b311448..b0729d4d 100644 --- a/translations/it/SUPPORT.md +++ b/translations/it/SUPPORT.md @@ -1,12 +1,3 @@ - # Supporto ## Come segnalare problemi e ottenere assistenza diff --git a/translations/it/TROUBLESHOOTING.md b/translations/it/TROUBLESHOOTING.md index 474cc7e9..511c26fa 100644 --- a/translations/it/TROUBLESHOOTING.md +++ b/translations/it/TROUBLESHOOTING.md @@ -1,12 +1,3 @@ - # Guida alla Risoluzione dei Problemi Questa guida fornisce soluzioni ai problemi comuni che potresti incontrare mentre lavori con il curriculum "Data Science for Beginners". diff --git a/translations/it/USAGE.md b/translations/it/USAGE.md index 2966490c..f9479409 100644 --- a/translations/it/USAGE.md +++ b/translations/it/USAGE.md @@ -1,12 +1,3 @@ - # Guida all'Uso Questa guida fornisce esempi e flussi di lavoro comuni per utilizzare il curriculum "Data Science for Beginners". diff --git a/translations/it/docs/_sidebar.md b/translations/it/docs/_sidebar.md index b725ca2e..c4ddbab7 100644 --- a/translations/it/docs/_sidebar.md +++ b/translations/it/docs/_sidebar.md @@ -1,12 +1,3 @@ - - Introduzione - [Definire la Data Science](../1-Introduction/01-defining-data-science/README.md) - [Etica della Data Science](../1-Introduction/02-ethics/README.md) diff --git a/translations/it/examples/README.md b/translations/it/examples/README.md index 843a96d2..020d7f86 100644 --- a/translations/it/examples/README.md +++ b/translations/it/examples/README.md @@ -1,12 +1,3 @@ - # Esempi di Data Science per Principianti Benvenuto nella directory degli esempi! Questa raccolta di esempi semplici e ben commentati è pensata per aiutarti a iniziare con la data science, anche se sei un principiante assoluto. diff --git a/translations/it/for-teachers.md b/translations/it/for-teachers.md index eed9c31f..7af32cb1 100644 --- a/translations/it/for-teachers.md +++ b/translations/it/for-teachers.md @@ -1,12 +1,3 @@ - ## Per Educatori Vorresti utilizzare questo curriculum nella tua classe? Sentiti libero di farlo! diff --git a/translations/it/quiz-app/README.md b/translations/it/quiz-app/README.md index eb513177..cdf0da23 100644 --- a/translations/it/quiz-app/README.md +++ b/translations/it/quiz-app/README.md @@ -1,12 +1,3 @@ - # Quiz Questi quiz sono i quiz pre- e post-lezione per il curriculum di data science disponibile su https://aka.ms/datascience-beginners diff --git a/translations/it/sketchnotes/README.md b/translations/it/sketchnotes/README.md index 92b42423..94857b31 100644 --- a/translations/it/sketchnotes/README.md +++ b/translations/it/sketchnotes/README.md @@ -1,12 +1,3 @@ - Trova tutte le sketchnote qui! ## Crediti diff --git a/translations/pl/.co-op-translator.json b/translations/pl/.co-op-translator.json new file mode 100644 index 00000000..121c7dc7 --- /dev/null +++ b/translations/pl/.co-op-translator.json @@ -0,0 +1,422 @@ +{ + "1-Introduction/01-defining-data-science/README.md": { + "original_hash": "43212cc1ac137b7bb1dcfb37ca06b0f4", + 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a/translations/pl/1-Introduction/01-defining-data-science/README.md b/translations/pl/1-Introduction/01-defining-data-science/README.md index 431ce6c7..35df5bc9 100644 --- a/translations/pl/1-Introduction/01-defining-data-science/README.md +++ b/translations/pl/1-Introduction/01-defining-data-science/README.md @@ -1,12 +1,3 @@ - # Definiowanie Data Science | ![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) | diff --git a/translations/pl/1-Introduction/01-defining-data-science/assignment.md b/translations/pl/1-Introduction/01-defining-data-science/assignment.md index a3024d3c..effc2f91 100644 --- a/translations/pl/1-Introduction/01-defining-data-science/assignment.md +++ b/translations/pl/1-Introduction/01-defining-data-science/assignment.md @@ -1,12 +1,3 @@ - # Zadanie: Scenariusze Data Science W tym pierwszym zadaniu prosimy Cię, abyś zastanowił się nad jakimś procesem lub problemem z życia codziennego w różnych obszarach tematycznych i pomyślał, jak można go ulepszyć, korzystając z procesu Data Science. Zastanów się nad następującymi kwestiami: diff --git a/translations/pl/1-Introduction/01-defining-data-science/solution/assignment.md b/translations/pl/1-Introduction/01-defining-data-science/solution/assignment.md index 51bc438a..2d1d616c 100644 --- a/translations/pl/1-Introduction/01-defining-data-science/solution/assignment.md +++ b/translations/pl/1-Introduction/01-defining-data-science/solution/assignment.md @@ -1,12 +1,3 @@ - # Zadanie: Scenariusze Data Science W tym pierwszym zadaniu prosimy Cię, abyś zastanowił się nad rzeczywistym procesem lub problemem w różnych obszarach tematycznych i jak można go ulepszyć, korzystając z procesu Data Science. Pomyśl o następujących kwestiach: diff --git a/translations/pl/1-Introduction/02-ethics/README.md b/translations/pl/1-Introduction/02-ethics/README.md index d4a4e312..a511c21f 100644 --- a/translations/pl/1-Introduction/02-ethics/README.md +++ b/translations/pl/1-Introduction/02-ethics/README.md @@ -1,12 +1,3 @@ - # Wprowadzenie do etyki danych |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)| diff --git a/translations/pl/1-Introduction/02-ethics/assignment.md b/translations/pl/1-Introduction/02-ethics/assignment.md index b6ae0289..cfb6348d 100644 --- a/translations/pl/1-Introduction/02-ethics/assignment.md +++ b/translations/pl/1-Introduction/02-ethics/assignment.md @@ -1,12 +1,3 @@ - ## Napisz studium przypadku dotyczące etyki danych ## Instrukcje diff --git a/translations/pl/1-Introduction/03-defining-data/README.md b/translations/pl/1-Introduction/03-defining-data/README.md index dbeff3f7..8ceab7b7 100644 --- a/translations/pl/1-Introduction/03-defining-data/README.md +++ b/translations/pl/1-Introduction/03-defining-data/README.md @@ -1,12 +1,3 @@ - # Definiowanie danych |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)| diff --git a/translations/pl/1-Introduction/03-defining-data/assignment.md b/translations/pl/1-Introduction/03-defining-data/assignment.md index ddd2c5d4..b5fa597a 100644 --- a/translations/pl/1-Introduction/03-defining-data/assignment.md +++ b/translations/pl/1-Introduction/03-defining-data/assignment.md @@ -1,12 +1,3 @@ - # Klasyfikacja Zbiorów Danych ## Instrukcje diff --git a/translations/pl/1-Introduction/04-stats-and-probability/README.md b/translations/pl/1-Introduction/04-stats-and-probability/README.md index 855ce28d..deaece10 100644 --- a/translations/pl/1-Introduction/04-stats-and-probability/README.md +++ b/translations/pl/1-Introduction/04-stats-and-probability/README.md @@ -1,12 +1,3 @@ - # Krótkie wprowadzenie do statystyki i teorii prawdopodobieństwa |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)| @@ -64,7 +55,7 @@ Aby lepiej zrozumieć rozkład danych, warto mówić o **kwartylach**: Graficznie możemy przedstawić zależność między medianą a kwartylami na diagramie zwanym **box plot**: -Wyjaśnienie wykresu pudełkowego +Wyjaśnienie wykresu pudełkowego Tutaj obliczamy również **rozstęp międzykwartylowy** IQR=Q3-Q1 oraz tzw. **wartości odstające** - wartości, które znajdują się poza granicami [Q1-1.5*IQR, Q3+1.5*IQR]. diff --git a/translations/pl/1-Introduction/04-stats-and-probability/assignment.md b/translations/pl/1-Introduction/04-stats-and-probability/assignment.md index 38309e0b..43c4e541 100644 --- a/translations/pl/1-Introduction/04-stats-and-probability/assignment.md +++ b/translations/pl/1-Introduction/04-stats-and-probability/assignment.md @@ -1,12 +1,3 @@ - # Małe badanie nad cukrzycą W tym zadaniu będziemy pracować z małym zestawem danych pacjentów z cukrzycą, pobranym z [tutaj](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html). diff --git a/translations/pl/1-Introduction/README.md b/translations/pl/1-Introduction/README.md index 3e526786..51f8b533 100644 --- a/translations/pl/1-Introduction/README.md +++ b/translations/pl/1-Introduction/README.md @@ -1,12 +1,3 @@ - # Wprowadzenie do Data Science ![dane w akcji](../../../translated_images/pl/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg) diff --git a/translations/pl/2-Working-With-Data/05-relational-databases/README.md b/translations/pl/2-Working-With-Data/05-relational-databases/README.md index ade3a687..2c985b06 100644 --- a/translations/pl/2-Working-With-Data/05-relational-databases/README.md +++ b/translations/pl/2-Working-With-Data/05-relational-databases/README.md @@ -1,12 +1,3 @@ - # Praca z danymi: bazy danych relacyjne |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)| diff --git a/translations/pl/2-Working-With-Data/05-relational-databases/assignment.md b/translations/pl/2-Working-With-Data/05-relational-databases/assignment.md index 6cda3be0..76ba8135 100644 --- a/translations/pl/2-Working-With-Data/05-relational-databases/assignment.md +++ b/translations/pl/2-Working-With-Data/05-relational-databases/assignment.md @@ -1,12 +1,3 @@ - # Wyświetlanie danych lotnisk Otrzymałeś [bazę danych](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db) opartą na [SQLite](https://sqlite.org/index.html), która zawiera informacje o lotniskach. Schemat bazy danych jest przedstawiony poniżej. Użyjesz [rozszerzenia SQLite](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) w [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum), aby wyświetlić informacje o lotniskach w różnych miastach. diff --git a/translations/pl/2-Working-With-Data/06-non-relational/README.md b/translations/pl/2-Working-With-Data/06-non-relational/README.md index dff62e32..3346bf23 100644 --- a/translations/pl/2-Working-With-Data/06-non-relational/README.md +++ b/translations/pl/2-Working-With-Data/06-non-relational/README.md @@ -1,12 +1,3 @@ - # Praca z danymi: Dane nierelacyjne |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)| diff --git a/translations/pl/2-Working-With-Data/06-non-relational/assignment.md b/translations/pl/2-Working-With-Data/06-non-relational/assignment.md index 64df0879..9503138e 100644 --- a/translations/pl/2-Working-With-Data/06-non-relational/assignment.md +++ b/translations/pl/2-Working-With-Data/06-non-relational/assignment.md @@ -1,12 +1,3 @@ - # Zyski z napojów gazowanych ## Instrukcje diff --git a/translations/pl/2-Working-With-Data/07-python/README.md b/translations/pl/2-Working-With-Data/07-python/README.md index db523f59..0e4af01a 100644 --- a/translations/pl/2-Working-With-Data/07-python/README.md +++ b/translations/pl/2-Working-With-Data/07-python/README.md @@ -1,12 +1,3 @@ - # Praca z danymi: Python i biblioteka Pandas | ![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) | diff --git a/translations/pl/2-Working-With-Data/07-python/assignment.md b/translations/pl/2-Working-With-Data/07-python/assignment.md index 43410cf3..cf400ec2 100644 --- a/translations/pl/2-Working-With-Data/07-python/assignment.md +++ b/translations/pl/2-Working-With-Data/07-python/assignment.md @@ -1,12 +1,3 @@ - # Zadanie dotyczące przetwarzania danych w Pythonie W tym zadaniu poprosimy Cię o rozwinięcie kodu, który zaczęliśmy tworzyć w naszych wyzwaniach. Zadanie składa się z dwóch części: diff --git a/translations/pl/2-Working-With-Data/08-data-preparation/README.md b/translations/pl/2-Working-With-Data/08-data-preparation/README.md index dc242e40..33b0caf3 100644 --- a/translations/pl/2-Working-With-Data/08-data-preparation/README.md +++ b/translations/pl/2-Working-With-Data/08-data-preparation/README.md @@ -1,12 +1,3 @@ - # Praca z danymi: Przygotowanie danych |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)| diff --git a/translations/pl/2-Working-With-Data/08-data-preparation/assignment.md b/translations/pl/2-Working-With-Data/08-data-preparation/assignment.md index 386f3d22..ce9847a6 100644 --- a/translations/pl/2-Working-With-Data/08-data-preparation/assignment.md +++ b/translations/pl/2-Working-With-Data/08-data-preparation/assignment.md @@ -1,12 +1,3 @@ - # Ocena danych z formularza Klient testował [mały formularz](../../../../2-Working-With-Data/08-data-preparation/index.html), aby zebrać podstawowe informacje o swojej bazie klientów. Przekazał Ci swoje wyniki, abyś zweryfikował dane, które zgromadzili. Możesz otworzyć stronę `index.html` w przeglądarce, aby zapoznać się z formularzem. diff --git a/translations/pl/2-Working-With-Data/README.md b/translations/pl/2-Working-With-Data/README.md index ba5e4136..231fb5de 100644 --- a/translations/pl/2-Working-With-Data/README.md +++ b/translations/pl/2-Working-With-Data/README.md @@ -1,12 +1,3 @@ - # Praca z danymi ![data love](../../../translated_images/pl/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg) diff --git a/translations/pl/3-Data-Visualization/09-visualization-quantities/README.md b/translations/pl/3-Data-Visualization/09-visualization-quantities/README.md index ee57b7d2..2c850a61 100644 --- a/translations/pl/3-Data-Visualization/09-visualization-quantities/README.md +++ b/translations/pl/3-Data-Visualization/09-visualization-quantities/README.md @@ -1,12 +1,3 @@ - # Wizualizacja ilości |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)| diff --git a/translations/pl/3-Data-Visualization/09-visualization-quantities/assignment.md b/translations/pl/3-Data-Visualization/09-visualization-quantities/assignment.md index c89f0e08..b564d504 100644 --- a/translations/pl/3-Data-Visualization/09-visualization-quantities/assignment.md +++ b/translations/pl/3-Data-Visualization/09-visualization-quantities/assignment.md @@ -1,12 +1,3 @@ - # Linie, wykresy punktowe i słupkowe ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/10-visualization-distributions/README.md b/translations/pl/3-Data-Visualization/10-visualization-distributions/README.md index a30e8131..029322f3 100644 --- a/translations/pl/3-Data-Visualization/10-visualization-distributions/README.md +++ b/translations/pl/3-Data-Visualization/10-visualization-distributions/README.md @@ -1,12 +1,3 @@ - # Wizualizacja rozkładów |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)| diff --git a/translations/pl/3-Data-Visualization/10-visualization-distributions/assignment.md b/translations/pl/3-Data-Visualization/10-visualization-distributions/assignment.md index 54881333..68dfef32 100644 --- a/translations/pl/3-Data-Visualization/10-visualization-distributions/assignment.md +++ b/translations/pl/3-Data-Visualization/10-visualization-distributions/assignment.md @@ -1,12 +1,3 @@ - # Zastosuj swoje umiejętności ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/11-visualization-proportions/README.md b/translations/pl/3-Data-Visualization/11-visualization-proportions/README.md index f980ec97..6ae9e23c 100644 --- a/translations/pl/3-Data-Visualization/11-visualization-proportions/README.md +++ b/translations/pl/3-Data-Visualization/11-visualization-proportions/README.md @@ -1,12 +1,3 @@ - # Wizualizacja proporcji |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)| diff --git a/translations/pl/3-Data-Visualization/11-visualization-proportions/assignment.md b/translations/pl/3-Data-Visualization/11-visualization-proportions/assignment.md index ef9a4b75..2afefce2 100644 --- a/translations/pl/3-Data-Visualization/11-visualization-proportions/assignment.md +++ b/translations/pl/3-Data-Visualization/11-visualization-proportions/assignment.md @@ -1,12 +1,3 @@ - # Wypróbuj to w Excelu ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/12-visualization-relationships/README.md b/translations/pl/3-Data-Visualization/12-visualization-relationships/README.md index c4489682..c34ef17b 100644 --- a/translations/pl/3-Data-Visualization/12-visualization-relationships/README.md +++ b/translations/pl/3-Data-Visualization/12-visualization-relationships/README.md @@ -1,12 +1,3 @@ - # Wizualizacja relacji: Wszystko o miodzie 🍯 |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)| diff --git a/translations/pl/3-Data-Visualization/12-visualization-relationships/assignment.md b/translations/pl/3-Data-Visualization/12-visualization-relationships/assignment.md index bede4559..ba807363 100644 --- a/translations/pl/3-Data-Visualization/12-visualization-relationships/assignment.md +++ b/translations/pl/3-Data-Visualization/12-visualization-relationships/assignment.md @@ -1,12 +1,3 @@ - # Zanurkuj w ul ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/README.md b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/README.md index 7e39327f..a3a7d0b0 100644 --- a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/README.md +++ b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/README.md @@ -1,12 +1,3 @@ - # Tworzenie Znaczących Wizualizacji |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)| diff --git a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/assignment.md b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/assignment.md index 177481cc..e689d600 100644 --- a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/assignment.md +++ b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/assignment.md @@ -1,12 +1,3 @@ - # Stwórz własną wizualizację ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/solution/README.md b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/solution/README.md index 3e510aa3..0870f4a3 100644 --- a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/solution/README.md +++ b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/solution/README.md @@ -1,12 +1,3 @@ - # Projekt wizualizacji danych Dangerous Liaisons Aby rozpocząć, upewnij się, że masz zainstalowane NPM i Node na swoim komputerze. Zainstaluj zależności (npm install), a następnie uruchom projekt lokalnie (npm run serve): diff --git a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/starter/README.md b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/starter/README.md index 4e23d5ea..d23991a0 100644 --- a/translations/pl/3-Data-Visualization/13-meaningful-visualizations/starter/README.md +++ b/translations/pl/3-Data-Visualization/13-meaningful-visualizations/starter/README.md @@ -1,12 +1,3 @@ - # Projekt wizualizacji danych Dangerous Liaisons Aby rozpocząć, upewnij się, że masz zainstalowane NPM i Node na swoim komputerze. Zainstaluj zależności (npm install), a następnie uruchom projekt lokalnie (npm run serve): diff --git a/translations/pl/3-Data-Visualization/R/09-visualization-quantities/README.md b/translations/pl/3-Data-Visualization/R/09-visualization-quantities/README.md index 87d8d1ab..5328ebd0 100644 --- a/translations/pl/3-Data-Visualization/R/09-visualization-quantities/README.md +++ b/translations/pl/3-Data-Visualization/R/09-visualization-quantities/README.md @@ -1,12 +1,3 @@ - # Wizualizacja Ilości |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/09-Visualizing-Quantities.png)| |:---:| diff --git a/translations/pl/3-Data-Visualization/R/09-visualization-quantities/assignment.md b/translations/pl/3-Data-Visualization/R/09-visualization-quantities/assignment.md index a85c517d..a29f4cf0 100644 --- a/translations/pl/3-Data-Visualization/R/09-visualization-quantities/assignment.md +++ b/translations/pl/3-Data-Visualization/R/09-visualization-quantities/assignment.md @@ -1,12 +1,3 @@ - # Linie, wykresy punktowe i słupkowe ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/R/10-visualization-distributions/README.md b/translations/pl/3-Data-Visualization/R/10-visualization-distributions/README.md index 499022c0..2d219356 100644 --- a/translations/pl/3-Data-Visualization/R/10-visualization-distributions/README.md +++ b/translations/pl/3-Data-Visualization/R/10-visualization-distributions/README.md @@ -1,12 +1,3 @@ - # Wizualizacja rozkładów |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/10-Visualizing-Distributions.png)| diff --git a/translations/pl/3-Data-Visualization/R/10-visualization-distributions/assignment.md b/translations/pl/3-Data-Visualization/R/10-visualization-distributions/assignment.md index fd9195a0..05682af7 100644 --- a/translations/pl/3-Data-Visualization/R/10-visualization-distributions/assignment.md +++ b/translations/pl/3-Data-Visualization/R/10-visualization-distributions/assignment.md @@ -1,12 +1,3 @@ - # Zastosuj swoje umiejętności ## Instrukcje diff --git a/translations/pl/3-Data-Visualization/R/11-visualization-proportions/README.md b/translations/pl/3-Data-Visualization/R/11-visualization-proportions/README.md index 3c41b742..2fc5f084 100644 --- a/translations/pl/3-Data-Visualization/R/11-visualization-proportions/README.md +++ b/translations/pl/3-Data-Visualization/R/11-visualization-proportions/README.md @@ -1,12 +1,3 @@ - # Wizualizacja proporcji |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/11-Visualizing-Proportions.png)| diff --git a/translations/pl/3-Data-Visualization/R/12-visualization-relationships/README.md b/translations/pl/3-Data-Visualization/R/12-visualization-relationships/README.md index 5f33e514..5eb59e6d 100644 --- a/translations/pl/3-Data-Visualization/R/12-visualization-relationships/README.md +++ b/translations/pl/3-Data-Visualization/R/12-visualization-relationships/README.md @@ -1,12 +1,3 @@ - # Wizualizacja Zależności: Wszystko o Miodzie 🍯 |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/12-Visualizing-Relationships.png)| diff --git a/translations/pl/3-Data-Visualization/R/13-meaningful-vizualizations/README.md b/translations/pl/3-Data-Visualization/R/13-meaningful-vizualizations/README.md index ec076f53..030ff47a 100644 --- a/translations/pl/3-Data-Visualization/R/13-meaningful-vizualizations/README.md +++ b/translations/pl/3-Data-Visualization/R/13-meaningful-vizualizations/README.md @@ -1,12 +1,3 @@ - # Tworzenie Znaczących Wizualizacji |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/13-MeaningfulViz.png)| diff --git a/translations/pl/3-Data-Visualization/README.md b/translations/pl/3-Data-Visualization/README.md index d74027df..e397cc9c 100644 --- a/translations/pl/3-Data-Visualization/README.md +++ b/translations/pl/3-Data-Visualization/README.md @@ -1,12 +1,3 @@ - # Wizualizacje ![pszczoła na kwiecie lawendy](../../../translated_images/pl/bee.0aa1d91132b12e3a8994b9ca12816d05ce1642010d9b8be37f8d37365ba845cf.jpg) diff --git a/translations/pl/4-Data-Science-Lifecycle/14-Introduction/README.md b/translations/pl/4-Data-Science-Lifecycle/14-Introduction/README.md index 504be014..a15d1140 100644 --- a/translations/pl/4-Data-Science-Lifecycle/14-Introduction/README.md +++ b/translations/pl/4-Data-Science-Lifecycle/14-Introduction/README.md @@ -1,12 +1,3 @@ - # Wprowadzenie do cyklu życia nauki o danych |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/14-DataScience-Lifecycle.png)| diff --git a/translations/pl/4-Data-Science-Lifecycle/14-Introduction/assignment.md b/translations/pl/4-Data-Science-Lifecycle/14-Introduction/assignment.md index 7ccd5f31..422c4723 100644 --- a/translations/pl/4-Data-Science-Lifecycle/14-Introduction/assignment.md +++ b/translations/pl/4-Data-Science-Lifecycle/14-Introduction/assignment.md @@ -1,12 +1,3 @@ - # Ocena Zbioru Danych Klient zwrócił się do Twojego zespołu o pomoc w zbadaniu sezonowych nawyków wydatkowych klientów taksówek w Nowym Jorku. diff --git a/translations/pl/4-Data-Science-Lifecycle/15-analyzing/README.md b/translations/pl/4-Data-Science-Lifecycle/15-analyzing/README.md index 056fe820..c837a172 100644 --- a/translations/pl/4-Data-Science-Lifecycle/15-analyzing/README.md +++ b/translations/pl/4-Data-Science-Lifecycle/15-analyzing/README.md @@ -1,12 +1,3 @@ - # Cykl życia danych: Analiza |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/15-Analyzing.png)| diff --git a/translations/pl/4-Data-Science-Lifecycle/15-analyzing/assignment.md b/translations/pl/4-Data-Science-Lifecycle/15-analyzing/assignment.md index 34e000fc..e52ca4f3 100644 --- a/translations/pl/4-Data-Science-Lifecycle/15-analyzing/assignment.md +++ b/translations/pl/4-Data-Science-Lifecycle/15-analyzing/assignment.md @@ -1,12 +1,3 @@ - # Poszukiwanie odpowiedzi To jest kontynuacja [zadania](../14-Introduction/assignment.md) z poprzedniej lekcji, gdzie krótko przyjrzeliśmy się zbiorowi danych. Teraz przyjrzymy się danym bardziej szczegółowo. diff --git a/translations/pl/4-Data-Science-Lifecycle/16-communication/README.md b/translations/pl/4-Data-Science-Lifecycle/16-communication/README.md index 58ebf4be..8baacdb2 100644 --- a/translations/pl/4-Data-Science-Lifecycle/16-communication/README.md +++ b/translations/pl/4-Data-Science-Lifecycle/16-communication/README.md @@ -1,12 +1,3 @@ - # Cykl życia Data Science: Komunikacja |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev)](../../sketchnotes/16-Communicating.png)| diff --git a/translations/pl/4-Data-Science-Lifecycle/16-communication/assignment.md b/translations/pl/4-Data-Science-Lifecycle/16-communication/assignment.md index dd257936..c2be35f2 100644 --- a/translations/pl/4-Data-Science-Lifecycle/16-communication/assignment.md +++ b/translations/pl/4-Data-Science-Lifecycle/16-communication/assignment.md @@ -1,12 +1,3 @@ - # Opowiedz historię ## Instrukcje diff --git a/translations/pl/4-Data-Science-Lifecycle/README.md b/translations/pl/4-Data-Science-Lifecycle/README.md index 2171940f..c05af975 100644 --- a/translations/pl/4-Data-Science-Lifecycle/README.md +++ b/translations/pl/4-Data-Science-Lifecycle/README.md @@ -1,12 +1,3 @@ - # Cykl życia Data Science ![communication](../../../translated_images/pl/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.jpg) diff --git a/translations/pl/5-Data-Science-In-Cloud/17-Introduction/README.md b/translations/pl/5-Data-Science-In-Cloud/17-Introduction/README.md index ac95298a..aebbe541 100644 --- a/translations/pl/5-Data-Science-In-Cloud/17-Introduction/README.md +++ b/translations/pl/5-Data-Science-In-Cloud/17-Introduction/README.md @@ -1,12 +1,3 @@ - # Wprowadzenie do Data Science w Chmurze |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)| diff --git a/translations/pl/5-Data-Science-In-Cloud/17-Introduction/assignment.md b/translations/pl/5-Data-Science-In-Cloud/17-Introduction/assignment.md index 3c06b0fa..7fe41319 100644 --- a/translations/pl/5-Data-Science-In-Cloud/17-Introduction/assignment.md +++ b/translations/pl/5-Data-Science-In-Cloud/17-Introduction/assignment.md @@ -1,12 +1,3 @@ - # Badania Rynkowe ## Instrukcje diff --git a/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/README.md b/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/README.md index 4e3ad319..13834399 100644 --- a/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/README.md +++ b/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/README.md @@ -1,12 +1,3 @@ - # Data Science w chmurze: Podejście "Low code/No code" |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/18-DataScience-Cloud.png)| diff --git a/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/assignment.md b/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/assignment.md index 1b04d264..f6e53412 100644 --- a/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/assignment.md +++ b/translations/pl/5-Data-Science-In-Cloud/18-Low-Code/assignment.md @@ -1,12 +1,3 @@ - # Projekt Data Science w stylu Low code/No code na Azure ML ## Instrukcje diff --git a/translations/pl/5-Data-Science-In-Cloud/19-Azure/README.md b/translations/pl/5-Data-Science-In-Cloud/19-Azure/README.md index 8a02ad88..c8601de2 100644 --- a/translations/pl/5-Data-Science-In-Cloud/19-Azure/README.md +++ b/translations/pl/5-Data-Science-In-Cloud/19-Azure/README.md @@ -1,12 +1,3 @@ - # Data Science w Chmurze: Podejście "Azure ML SDK" |![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/19-DataScience-Cloud.png)| diff --git a/translations/pl/5-Data-Science-In-Cloud/19-Azure/assignment.md b/translations/pl/5-Data-Science-In-Cloud/19-Azure/assignment.md index 1ae62c61..ed96dec4 100644 --- a/translations/pl/5-Data-Science-In-Cloud/19-Azure/assignment.md +++ b/translations/pl/5-Data-Science-In-Cloud/19-Azure/assignment.md @@ -1,12 +1,3 @@ - # Projekt Data Science z użyciem Azure ML SDK ## Instrukcje diff --git a/translations/pl/5-Data-Science-In-Cloud/README.md b/translations/pl/5-Data-Science-In-Cloud/README.md index 31b39240..5ac038ec 100644 --- a/translations/pl/5-Data-Science-In-Cloud/README.md +++ b/translations/pl/5-Data-Science-In-Cloud/README.md @@ -1,12 +1,3 @@ - # Data Science w Chmurze ![cloud-picture](../../../translated_images/pl/cloud-picture.f5526de3c6c6387b2d656ba94f019b3352e5e3854a78440e4fb00c93e2dea675.jpg) diff --git a/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/README.md b/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/README.md index 4eb1a771..6d7b9ee1 100644 --- a/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/README.md +++ b/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/README.md @@ -1,12 +1,3 @@ - # Data Science w Rzeczywistym Świecie | ![ Sketchnote autorstwa [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png) | diff --git a/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md b/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md index 8fe264b0..a5665e6d 100644 --- a/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md +++ b/translations/pl/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md @@ -1,12 +1,3 @@ - # Eksploracja zbioru danych Planetary Computer ## Instrukcje diff --git a/translations/pl/6-Data-Science-In-Wild/README.md b/translations/pl/6-Data-Science-In-Wild/README.md index 4f54211a..5077e51c 100644 --- a/translations/pl/6-Data-Science-In-Wild/README.md +++ b/translations/pl/6-Data-Science-In-Wild/README.md @@ -1,12 +1,3 @@ - # Data Science w Praktyce Zastosowania data science w różnych branżach. diff --git a/translations/pl/AGENTS.md b/translations/pl/AGENTS.md index 6ee2d688..6e3c75fe 100644 --- a/translations/pl/AGENTS.md +++ b/translations/pl/AGENTS.md @@ -1,12 +1,3 @@ - # AGENTS.md ## Przegląd projektu diff --git a/translations/pl/CODE_OF_CONDUCT.md b/translations/pl/CODE_OF_CONDUCT.md index efbb834a..e4541449 100644 --- a/translations/pl/CODE_OF_CONDUCT.md +++ b/translations/pl/CODE_OF_CONDUCT.md @@ -1,12 +1,3 @@ - # Kodeks postępowania Microsoft Open Source Ten projekt przyjął [Kodeks postępowania Microsoft Open Source](https://opensource.microsoft.com/codeofconduct/). diff --git a/translations/pl/CONTRIBUTING.md b/translations/pl/CONTRIBUTING.md index a6405957..b61dfc12 100644 --- a/translations/pl/CONTRIBUTING.md +++ b/translations/pl/CONTRIBUTING.md @@ -1,12 +1,3 @@ - # Współtworzenie Data Science dla Początkujących Dziękujemy za zainteresowanie współtworzeniem programu nauczania Data Science dla Początkujących! Zapraszamy do współpracy całą społeczność. diff --git a/translations/pl/INSTALLATION.md b/translations/pl/INSTALLATION.md index bacb8fa0..44fd8850 100644 --- a/translations/pl/INSTALLATION.md +++ b/translations/pl/INSTALLATION.md @@ -1,12 +1,3 @@ - # Przewodnik instalacji Ten przewodnik pomoże Ci skonfigurować środowisko do pracy z programem nauczania "Data Science for Beginners". diff --git a/translations/pl/README.md b/translations/pl/README.md index 8f6054d3..1bc063cd 100644 --- a/translations/pl/README.md +++ b/translations/pl/README.md @@ -1,50 +1,41 @@ - # Data Science dla Początkujących - Program Nauczania [![Otwórz w GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198) [![Licencja GitHub](https://img.shields.io/github/license/microsoft/Data-Science-For-Beginners.svg)](https://github.com/microsoft/Data-Science-For-Beginners/blob/master/LICENSE) -[![Współautorzy GitHub](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/) -[![Problemy GitHub](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/) -[![Prośby o wciągnięcie zmian GitHub](https://img.shields.io/github/issues-pr/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/pulls/) -[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![Współtwórcy GitHub](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/) +[![Zgłoszenia GitHub](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/) +[![Pull requesty GitHub](https://img.shields.io/github/issues-pr/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/pulls/) +[![PRs Mile widziane](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) [![Obserwujący GitHub](https://img.shields.io/github/watchers/microsoft/Data-Science-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/Data-Science-For-Beginners/watchers/) [![Forki GitHub](https://img.shields.io/github/forks/microsoft/Data-Science-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/Data-Science-For-Beginners/network/) -[![Gwiazdy GitHub](https://img.shields.io/github/stars/microsoft/Data-Science-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/Data-Science-For-Beginners/stargazers/) +[![Gwiazdki GitHub](https://img.shields.io/github/stars/microsoft/Data-Science-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/Data-Science-For-Beginners/stargazers/) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) -Zespół Azure Cloud Advocates w Microsoft z przyjemnością oferuje 10-tygodniowy, 20-lekcyjny program nauczania całkowicie poświęcony Data Science. Każda lekcja zawiera quizy przed i po lekcji, pisemne instrukcje do wykonania lekcji, rozwiązanie oraz zadanie do wykonania. Nasza projektowo-zorientowana metodologia pozwala uczyć się podczas tworzenia, co jest sprawdzonym sposobem na trwałe przyswojenie nowych umiejętności. +Azure Cloud Advocates w Microsoft z przyjemnością oferują 10-tygodniowy, 20-lekcyjny program nauczania poświęcony Data Science. Każda lekcja zawiera quiz przed i po lekcji, pisemne instrukcje do wykonania lekcji, rozwiązanie oraz zadanie. Nasza oparta na projektach pedagogika pozwala uczyć się podczas tworzenia, co jest sprawdzonym sposobem, aby nowe umiejętności „pozostały”. **Serdeczne podziękowania dla naszych autorów:** [Jasmine Greenaway](https://www.twitter.com/paladique), [Dmitry Soshnikov](http://soshnikov.com), [Nitya Narasimhan](https://twitter.com/nitya), [Jalen McGee](https://twitter.com/JalenMcG), [Jen Looper](https://twitter.com/jenlooper), [Maud Levy](https://twitter.com/maudstweets), [Tiffany Souterre](https://twitter.com/TiffanySouterre), [Christopher Harrison](https://www.twitter.com/geektrainer). -**🙏 Specjalne podziękowania 🙏 dla naszych autorów, recenzentów i współtwórców treści z [Microsoft Student Ambassador](https://studentambassadors.microsoft.com/),** w szczególności Aaryana Arory, [Aditya Garga](https://github.com/AdityaGarg00), [Alondry Sancheza](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankity Singh](https://www.linkedin.com/in/ankitasingh007), [Anupama Mishry](https://www.linkedin.com/in/anupam--mishra/), [Arpity Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishity Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majda Safiego](https://www.linkedin.com/in/majd-s/), [Maxa Bluma](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguela Correi](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalala](https://twitter.com/iftu119), [Nawrin Tabassuma](https://www.linkedin.com/in/nawrin-tabassum), [Raymonda Wangsy Putry](https://www.linkedin.com/in/raymond-wp/), [Rohita Yadava](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanyi Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200), -[Sheeny Naruli](https://www.linkedin.com/in/sheena-narua-n/), [Tauqeera Ahmada](https://www.linkedin.com/in/tauqeerahmad5201/), Yogendrasingha Pawara, [Vidushi Gupty](https://www.linkedin.com/in/vidushi-gupta07/), [Jasleena Sondhiego](https://www.linkedin.com/in/jasleen-sondhi/) +**🙏 Szczególne podziękowania 🙏 dla naszych autorów, recenzentów i współtwórców treści z [Microsoft Student Ambassador](https://studentambassadors.microsoft.com/),** w szczególności Aaryan Arora, [Aditya Garg](https://github.com/AdityaGarg00), [Alondra Sanchez](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankita Singh](https://www.linkedin.com/in/ankitasingh007), [Anupam Mishra](https://www.linkedin.com/in/anupam--mishra/), [Arpita Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishita Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majd Safi](https://www.linkedin.com/in/majd-s/), [Max Blum](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguel Correa](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalal](https://twitter.com/iftu119), [Nawrin Tabassum](https://www.linkedin.com/in/nawrin-tabassum), [Raymond Wangsa Putra](https://www.linkedin.com/in/raymond-wp/), [Rohit Yadav](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanya Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200), +[Sheena Narula](https://www.linkedin.com/in/sheena-narua-n/), [Tauqeer Ahmad](https://www.linkedin.com/in/tauqeerahmad5201/), Yogendrasingh Pawar , [Vidushi Gupta](https://www.linkedin.com/in/vidushi-gupta07/), [Jasleen Sondhi](https://www.linkedin.com/in/jasleen-sondhi/) -|![Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/pl/00-Title.8af36cd35da1ac55.webp)| +|![Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../translated_images/pl/00-Title.8af36cd35da1ac55.webp)| |:---:| | Data Science dla Początkujących - _Sketchnote autorstwa [@nitya](https://twitter.com/nitya)_ | -### 🌐 Wsparcie Wielojęzyczne +### 🌐 Wielojęzyczne wsparcie -#### Wspierane przez GitHub Action (Automatycznie & Zawsze Aktualne) +#### Wsparcie poprzez GitHub Action (zautomatyzowane i zawsze aktualne) -[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (Uproszczony)](../zh/README.md) | [Chiński (Tradycyjny, Hong Kong)](../hk/README.md) | [Chiński (Tradycyjny, Macau)](../mo/README.md) | [Chiński (Tradycyjny, Tajwan)](../tw/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Holenderski](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Kannada](../kn/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigeryjski Pidgin](../pcm/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../br/README.md) | [Portugalski (Portugalia)](../pt/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (Cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (uproszczony)](../zh-CN/README.md) | [Chiński (tradycyjny, Hong Kong)](../zh-HK/README.md) | [Chiński (tradycyjny, Macau)](../zh-MO/README.md) | [Chiński (tradycyjny, Tajwan)](../zh-TW/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Holenderski](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Kannada](../kn/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigeryjski Pidgin](../pcm/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../pt-BR/README.md) | [Portugalski (Portugalia)](../pt-PT/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../vi/README.md) -> **Wolisz Klonować Lokalnie?** +> **Wolisz sklonować lokalnie?** > To repozytorium zawiera ponad 50 tłumaczeń językowych, co znacznie zwiększa rozmiar pobierania. Aby sklonować bez tłumaczeń, użyj sparse checkout: > ```bash @@ -52,159 +43,159 @@ Zespół Azure Cloud Advocates w Microsoft z przyjemnością oferuje 10-tygodnio > cd Data-Science-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> To da Ci wszystko, czego potrzebujesz do ukończenia kursu z dużo szybszym pobieraniem. +> To da Ci wszystko, czego potrzebujesz, aby ukończyć kurs z dużo szybszym pobraniem. -**Jeśli chcesz, aby dodano wsparcie dla innych języków, są one wymienione [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jeśli chcesz, aby dodatkowe języki tłumaczeń były wspierane, są one wymienione [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -#### Dołącz do Naszej Społeczności +#### Dołącz do naszej społeczności [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Mamy trwającą serię nauki z AI na Discordzie, dowiedz się więcej i dołącz do nas na [Learn with AI Series](https://aka.ms/learnwithai/discord) od 18 do 30 września 2025. Otrzymasz wskazówki i triki dotyczące korzystania z GitHub Copilot dla Data Science. +Mamy trwającą serię Discord Learn with AI, dowiedz się więcej i dołącz do nas na [Learn with AI Series](https://aka.ms/learnwithai/discord) w dniach 18 - 30 września 2025. Otrzymasz wskazówki i triki dotyczące używania GitHub Copilot w Data Science. -![Seria ucz się z AI](../../../../translated_images/pl/1.2b28cdc6205e26fe.webp) +![Seria Learn with AI](../../translated_images/pl/1.2b28cdc6205e26fe.webp) # Jesteś studentem? Zacznij od następujących zasobów: -- [Strona Student Hub](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Na tej stronie znajdziesz materiały dla początkujących, pakiety dla studentów, a nawet sposoby na zdobycie darmowego bonu na certyfikat. To jedna ze stron, którą warto dodać do zakładek i od czasu do czasu sprawdzać, ponieważ regularnie zmieniamy zawartość, przynajmniej raz w miesiącu. -- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Dołącz do globalnej społeczności ambasadorów studentów, to może być Twoja droga do Microsoft. +- [Strona Student Hub](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Na tej stronie znajdziesz zasoby dla początkujących, pakiety studenckie i nawet sposoby na zdobycie darmowego vouchera na certyfikat. To jedna strona, którą warto dodać do ulubionych i regularnie sprawdzać, ponieważ zawartość jest zmieniana co najmniej raz w miesiącu. +- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Dołącz do globalnej społeczności ambasadorów studenckich, może to być Twoja droga do Microsoft. -# Rozpoczęcie +# Zacznijmy ## 📚 Dokumentacja - **[Przewodnik instalacji](INSTALLATION.md)** - Instrukcje krok po kroku dla początkujących -- **[Przewodnik użytkowania](USAGE.md)** - Przykłady i powszechne schematy pracy +- **[Przewodnik użytkowania](USAGE.md)** - Przykłady i popularne przepływy pracy - **[Rozwiązywanie problemów](TROUBLESHOOTING.md)** - Rozwiązania typowych problemów -- **[Przewodnik współpracy](CONTRIBUTING.md)** - Jak przyczynić się do tego projektu -- **[Dla nauczycieli](for-teachers.md)** - Wskazówki dydaktyczne i zasoby do klasy +- **[Przewodnik współtworzenia](CONTRIBUTING.md)** - Jak współtworzyć ten projekt +- **[Dla nauczycieli](for-teachers.md)** - Wskazówki dydaktyczne i materiały do klasy ## 👨‍🎓 Dla studentów -> **Całkowici początkujący**: Nowy w data science? Zacznij od naszych [przykładów dla początkujących](examples/README.md)! Te proste, dobrze skomentowane przykłady pomogą Ci zrozumieć podstawy zanim zanurzysz się w cały program. -> **[Studenci](https://aka.ms/student-page)**: aby korzystać z tego programu samodzielnie, rozgałęź całe repozytorium i samodzielnie wykonaj ćwiczenia, zaczynając od quizu przed wykładem. Następnie przeczytaj wykład i wykonaj pozostałe aktywności. Staraj się tworzyć projekty, rozumiejąc lekcje, zamiast kopiować kod rozwiązań; jednak ten kod jest dostępny w folderach /solutions w każdej lekcji skoncentrowanej na projekcie. Innym pomysłem jest zorganizowanie grupy studenckiej z przyjaciółmi i przejście przez zawartość razem. Do dalszej nauki polecamy [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum). +> **Całkowicie początkujący**: Nowy w data science? Zacznij od naszych [przykładów dla początkujących](examples/README.md)! Te proste, bogato komentowane przykłady pomogą Ci zrozumieć podstawy zanim przejdziesz do pełnego programu. +> **[Studenci](https://aka.ms/student-page)**: aby korzystać z programu samodzielnie, utwórz fork całego repozytorium i wykonuj ćwiczenia samodzielnie, zaczynając od quizu przed wykładem. Następnie przeczytaj wykład i wykonaj pozostałe zadania. Staraj się tworzyć projekty rozumiejąc lekcje, a nie tylko kopiując kod rozwiązań; jednak ten kod jest dostępny w folderach /solutions w każdej lekcji skupionej na projekcie. Innym pomysłem jest utworzenie grupy nauki z przyjaciółmi i wspólne przerabianie materiału. Do dalszej nauki rekomendujemy [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum). **Szybki start:** -1. Sprawdź [Przewodnik instalacji](INSTALLATION.md), aby skonfigurować swoje środowisko -2. Przejrzyj [Przewodnik użytkowania](USAGE.md), aby nauczyć się, jak korzystać z programu -3. Zacznij od Lekcji 1 i przechodź po kolei -4. Dołącz do naszej [społeczności Discord](https://aka.ms/ds4beginners/discord), aby uzyskać wsparcie +1. Sprawdź [Przewodnik instalacji](INSTALLATION.md), aby skonfigurować środowisko +2. Przejrzyj [Przewodnik użytkowania](USAGE.md), aby nauczyć się pracy z programem +3. Zacznij od Lekcji 1 i pracuj po kolei +4. Dołącz do naszej [społeczności Discord](https://aka.ms/ds4beginners/discord) po wsparcie ## 👩‍🏫 Dla nauczycieli -> **Nauczyciele**: dołączyliśmy [kilka sugestii](for-teachers.md) dotyczących korzystania z tego programu. Chętnie poznamy Wasze opinie [na naszym forum dyskusyjnym](https://github.com/microsoft/Data-Science-For-Beginners/discussions)! +> **Nauczyciele**: zamieściliśmy [kilka sugestii](for-teachers.md) dotyczących korzystania z tego programu. Chętnie przyjmiemy Wasze opinie [na naszym forum dyskusyjnym](https://github.com/microsoft/Data-Science-For-Beginners/discussions)! +## Poznaj Zespół -## Poznaj zespół -[![Promo video](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Promo video") +[![Film promocyjny](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Film promocyjny") **Gif autorstwa** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal) -> 🎥 Kliknij obraz powyżej, aby obejrzeć wideo o projekcie i ludziach, którzy go stworzyli! +> 🎥 Kliknij powyższy obraz, aby zobaczyć film o projekcie i ludziach, którzy go stworzyli! ## Pedagogika -W budowaniu tego programu nauczania wybraliśmy dwa założenia pedagogiczne: zapewnienie opartego na projektach charakteru oraz częste quizy. Po ukończeniu tej serii uczniowie poznają podstawowe zasady nauki o danych, w tym koncepcje etyczne, przygotowanie danych, różne sposoby pracy z danymi, wizualizację danych, analizę danych, realne zastosowania nauki o danych i więcej. +Wybraliśmy dwie zasady pedagogiczne podczas tworzenia tego programu nauczania: zapewnienie, że jest oparty na projektach oraz że zawiera częste quizy. Pod koniec tej serii uczniowie poznają podstawowe zasady nauki o danych, w tym zagadnienia etyczne, przygotowanie danych, różne sposoby pracy z danymi, wizualizację danych, analizę danych, rzeczywiste przypadki użycia nauki o danych i więcej. -Dodatkowo quiz o niskiej stawce przed zajęciami nastawia ucznia na naukę tematu, natomiast drugi quiz po zajęciach zapewnia lepsze utrwalenie wiedzy. Program ten został zaprojektowany tak, aby był elastyczny i przyjemny oraz można go realizować w całości lub częściowo. Projekty zaczynają się od małych i stają się coraz bardziej złożone w trakcie 10. tygodniowego cyklu. +Dodatkowo, mało stresujący quiz przed lekcją nastawia ucznia na naukę danego tematu, podczas gdy drugi quiz po lekcji zapewnia lepsze zapamiętanie materiału. Ten program nauczania został zaprojektowany tak, aby był elastyczny i przyjemny, i można go realizować w całości lub częściowo. Projekty zaczynają się od małych i stają się coraz bardziej złożone pod koniec 10-tygodniowego cyklu. -> Znajdź nasze [Zasady postępowania](CODE_OF_CONDUCT.md), [Wkład](CONTRIBUTING.md), [Tłumaczenia](TRANSLATIONS.md). Chętnie przyjmujemy Twoją konstruktywną opinię! +> Znajdź nasze [Zasady zachowania](CODE_OF_CONDUCT.md), [Zasady współtworzenia](CONTRIBUTING.md), [Tłumaczenia](TRANSLATIONS.md). Czekamy na Twoją konstruktywną opinię! ## Każda lekcja zawiera: -- Opcjonalną notatkę graficzną -- Opcjonalne dodatkowe wideo -- Quiz rozgrzewkowy przed lekcją +- Opcjonalną notatkę wizualną (sketchnote) +- Opcjonalny film uzupełniający +- Quiz rozgrzewający przed lekcją - Lekcję pisaną -- W lekcjach opartych na projektach, przewodniki krok po kroku jak zbudować projekt +- W przypadku lekcji opartych na projektach, instrukcje krok po kroku jak zbudować projekt - Sprawdziany wiedzy - Wyzwanie -- Dodatkową lekturę +- Materiały uzupełniające do czytania - Zadanie domowe - [Quiz po lekcji](https://ff-quizzes.netlify.app/en/) -> **Uwagi o quizach**: Wszystkie quizy znajdują się w folderze Quiz-App, w sumie 40 quizów po trzy pytania każdy. Są one powiązane z lekcjami, ale aplikację quizową można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Są stopniowo lokalizowane. +> **Uwaga na temat quizów**: Wszystkie quizy znajdują się w folderze Quiz-App, łącznie 40 quizów po trzy pytania każdy. Są one powiązane z lekcjami, ale aplikację quizową można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Są stopniowo lokalizowane. ## 🎓 Przykłady przyjazne dla początkujących -**Nowy w nauce o danych?** Stworzyliśmy specjalny [katalog przykładów](examples/README.md) z prostym, dobrze komentowanym kodem, który pomoże Ci zacząć: +**Nowy w nauce o danych?** Stworzyliśmy specjalny [katalog przykładów](examples/README.md) z prostym, dobrze skomentowanym kodem, aby pomóc Ci zacząć: -- 🌟 **Hello World** - Twój pierwszy program w nauce o danych -- 📂 **Ładowanie danych** - Naucz się czytać i eksplorować zestawy danych -- 📊 **Prosta analiza** - Obliczaj statystyki i znajdź wzorce -- 📈 **Podstawowa wizualizacja** - Twórz wykresy i diagramy -- 🔬 **Projekt z prawdziwego świata** - Kompletny proces od początku do końca +- 🌟 **Hello World** – Twój pierwszy program nauki o danych +- 📂 **Ładowanie danych** – Naucz się czytać i eksplorować zbiory danych +- 📊 **Prosta analiza** – Oblicz statystyki i znajdź wzorce +- 📈 **Podstawowa wizualizacja** – Twórz wykresy i diagramy +- 🔬 **Projekt z prawdziwego świata** – Kompletny przepływ pracy od początku do końca -Każdy przykład zawiera szczegółowe komentarze wyjaśniające każdy krok, co czyni go idealnym dla całkowicie początkujących! +Każdy przykład zawiera szczegółowe komentarze wyjaśniające każdy krok, co czyni go idealnym dla absolutnych początkujących! 👉 **[Zacznij od przykładów](examples/README.md)** 👈 ## Lekcje -|![ Notatka graficzna autorstwa @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/pl/00-Roadmap.4905d6567dff4753.webp)| +|![ Notatka wizualna autorstwa @sketchthedocs https://sketchthedocs.dev](../../translated_images/pl/00-Roadmap.4905d6567dff4753.webp)| |:---:| -| Nauka o danych dla początkujących: Plan nauki - _Notatka graficzna autorstwa [@nitya](https://twitter.com/nitya)_ | +| Data Science dla początkujących: mapa drogowa - _Notatka wizualna autorstwa [@nitya](https://twitter.com/nitya)_ | -| Numer lekcji | Temat | Grupa lekcji | Cele nauki | Powiązana lekcja | Autor | +| Numer lekcji | Temat | Grupa lekcji | Cele nauczania | Powiązana lekcja | Autor | | :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: | -| 01 | Definiowanie nauki o danych | [Wprowadzenie](1-Introduction/README.md) | Poznaj podstawowe pojęcia nauki o danych i jej powiązania ze sztuczną inteligencją, uczeniem maszynowym oraz big data. | [lekcja](1-Introduction/01-defining-data-science/README.md) [wideo](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) | +| 01 | Definicja nauki o danych | [Wprowadzenie](1-Introduction/README.md) | Poznaj podstawowe koncepcje nauki o danych oraz jak wiąże się ona ze sztuczną inteligencją, uczeniem maszynowym i big data. | [lekcja](1-Introduction/01-defining-data-science/README.md) [film](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) | | 02 | Etyka w nauce o danych | [Wprowadzenie](1-Introduction/README.md) | Koncepcje etyki danych, wyzwania i ramy postępowania. | [lekcja](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) | -| 03 | Definiowanie danych | [Wprowadzenie](1-Introduction/README.md) | Jak dane są klasyfikowane i ich powszechne źródła. | [lekcja](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) | -| 04 | Wprowadzenie do statystyki i prawdopodobieństwa | [Wprowadzenie](1-Introduction/README.md) | Matematyczne techniki prawdopodobieństwa i statystyki do zrozumienia danych. | [lekcja](1-Introduction/04-stats-and-probability/README.md) [wideo](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | -| 05 | Praca z danymi relacyjnymi | [Praca z danymi](2-Working-With-Data/README.md) | Wprowadzenie do danych relacyjnych oraz podstawy eksploracji i analizy danych relacyjnych za pomocą Structured Query Language, znanego jako SQL (wym. „see-quell”). | [lekcja](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | +| 03 | Definicja danych | [Wprowadzenie](1-Introduction/README.md) | Jak klasyfikowane są dane i ich typowe źródła. | [lekcja](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) | +| 04 | Wprowadzenie do statystyki i rachunku prawdopodobieństwa | [Wprowadzenie](1-Introduction/README.md) | Matematyczne techniki prawdopodobieństwa i statystyki do zrozumienia danych. | [lekcja](1-Introduction/04-stats-and-probability/README.md) [film](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | +| 05 | Praca z danymi relacyjnymi | [Praca z danymi](2-Working-With-Data/README.md) | Wprowadzenie do danych relacyjnych oraz podstawy eksploracji i analizy danych relacyjnych przy użyciu języka Structured Query Language, znanego jako SQL (czyt. „si-kju-el”). | [lekcja](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | | 06 | Praca z danymi NoSQL | [Praca z danymi](2-Working-With-Data/README.md) | Wprowadzenie do danych nierelacyjnych, ich różnych typów oraz podstaw eksploracji i analizy baz dokumentów. | [lekcja](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)| -| 07 | Praca z Pythonem | [Praca z danymi](2-Working-With-Data/README.md) | Podstawy używania Pythona do eksploracji danych z wykorzystaniem bibliotek takich jak Pandas. Zalecane podstawowe rozumienie programowania w Pythonie. | [lekcja](2-Working-With-Data/07-python/README.md) [wideo](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | -| 08 | Przygotowanie danych | [Praca z danymi](2-Working-With-Data/README.md) | Tematy dotyczące technik czyszczenia i transformacji danych w celu radzenia sobie z brakującymi, niedokładnymi lub niekompletnymi danymi. | [lekcja](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | -| 09 | Wizualizacja ilości | [Wizualizacja danych](3-Data-Visualization/README.md) | Nauka używania Matplotlib do wizualizacji danych o ptakach 🦆 | [lekcja](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | +| 07 | Praca z Pythonem | [Praca z danymi](2-Working-With-Data/README.md) | Podstawy używania Pythona do eksploracji danych z użyciem bibliotek takich jak Pandas. Zalecane podstawy programowania w Pythonie. | [lekcja](2-Working-With-Data/07-python/README.md) [film](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | +| 08 | Przygotowanie danych | [Praca z danymi](2-Working-With-Data/README.md) | Tematy dotyczące technik czyszczenia i przekształcania danych, aby radzić sobie z problemami brakujących, nieprawidłowych lub niekompletnych danych. | [lekcja](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | +| 09 | Wizualizacja ilości | [Wizualizacja danych](3-Data-Visualization/README.md) | Naucz się używać Matplotlib do wizualizacji danych o ptakach 🦆 | [lekcja](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | | 10 | Wizualizacja rozkładów danych | [Wizualizacja danych](3-Data-Visualization/README.md) | Wizualizacja obserwacji i trendów w obrębie przedziału. | [lekcja](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) | | 11 | Wizualizacja proporcji | [Wizualizacja danych](3-Data-Visualization/README.md) | Wizualizacja dyskretnych i grupowanych procentów. | [lekcja](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) | -| 12 | Wizualizacja zależności | [Wizualizacja danych](3-Data-Visualization/README.md) | Wizualizacja powiązań i korelacji pomiędzy zestawami danych oraz ich zmiennymi. | [lekcja](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) | -| 13 | Sensowne wizualizacje | [Wizualizacja danych](3-Data-Visualization/README.md) | Techniki i wskazówki, jak uczynić wizualizacje wartościowymi dla skutecznego rozwiązywania problemów i uzyskiwania wglądów. | [lekcja](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | -| 14 | Wprowadzenie do cyklu życia nauki o danych | [Cykl życia](4-Data-Science-Lifecycle/README.md) | Wprowadzenie do cyklu życia nauki o danych i jego pierwszego kroku, czyli pozyskiwania i ekstrakcji danych. | [lekcja](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | -| 15 | Analiza | [Cykl życia](4-Data-Science-Lifecycle/README.md) | Faza cyklu życia nauki o danych skupiona na technikach analizy danych. | [lekcja](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | -| 16 | Komunikacja | [Cykl życia](4-Data-Science-Lifecycle/README.md) | Faza cyklu życia nauki o danych skoncentrowana na prezentowaniu spostrzeżeń z danych w sposób ułatwiający podejmowanie decyzji przez decydentów. | [lekcja](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | -| 17 | Nauka o danych w chmurze | [Dane w chmurze](5-Data-Science-In-Cloud/README.md) | Seria lekcji wprowadzających naukę o danych w chmurze i jej korzyści. | [lekcja](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) oraz [Maud](https://twitter.com/maudstweets) | -| 18 | Nauka o danych w chmurze | [Dane w chmurze](5-Data-Science-In-Cloud/README.md) | Trenowanie modeli za pomocą narzędzi Low Code. |[lekcja](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) oraz [Maud](https://twitter.com/maudstweets) | -| 19 | Nauka o danych w chmurze | [Dane w chmurze](5-Data-Science-In-Cloud/README.md) | Wdrażanie modeli za pomocą Azure Machine Learning Studio. | [lekcja](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) oraz [Maud](https://twitter.com/maudstweets) | -| 20 | Nauka o danych w praktyce | [W praktyce](6-Data-Science-In-Wild/README.md) | Projekty oparte na nauce o danych w rzeczywistym świecie. | [lekcja](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | +| 12 | Wizualizacja zależności | [Wizualizacja danych](3-Data-Visualization/README.md) | Wizualizacja powiązań i korelacji między zestawami danych i ich zmiennymi. | [lekcja](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) | +| 13 | Znaczące wizualizacje | [Wizualizacja danych](3-Data-Visualization/README.md) | Techniki i wskazówki, jak tworzyć wizualizacje wartościowe dla skutecznego rozwiązywania problemów i uzyskiwania wglądów. | [lekcja](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | +| 14 | Wprowadzenie do cyklu życia nauki o danych | [Cykl życia](4-Data-Science-Lifecycle/README.md) | Wprowadzenie do cyklu życia nauki o danych i jego pierwszego kroku, pozyskiwania i ekstrakcji danych. | [lekcja](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | +| 15 | Analiza | [Cykl życia](4-Data-Science-Lifecycle/README.md) | Ta faza cyklu życia nauki o danych koncentruje się na technikach analizy danych. | [lekcja](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | +| 16 | Komunikacja | [Cykl życia](4-Data-Science-Lifecycle/README.md) | Ta faza cyklu życia nauki o danych skupia się na prezentowaniu wniosków z danych w sposób ułatwiający zrozumienie decydentom. | [lekcja](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | +| 17 | Nauka o danych w chmurze | [Dane w chmurze](5-Data-Science-In-Cloud/README.md) | Ta seria lekcji wprowadza naukę o danych w chmurze i jej korzyści. | [lekcja](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) | +| 18 | Nauka o danych w chmurze | [Dane w chmurze](5-Data-Science-In-Cloud/README.md) | Trenowanie modeli przy użyciu narzędzi Low Code. |[lekcja](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) | +| 19 | Nauka o danych w chmurze | [Dane w chmurze](5-Data-Science-In-Cloud/README.md) | Wdrażanie modeli przy pomocy Azure Machine Learning Studio. | [lekcja](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) | +| 20 | Nauka o danych w praktyce | [W praktyce](6-Data-Science-In-Wild/README.md) | Projekty nauki o danych w świecie rzeczywistym. | [lekcja](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | ## GitHub Codespaces Wykonaj te kroki, aby otworzyć ten przykład w Codespace: 1. Kliknij menu rozwijane Code i wybierz opcję Open with Codespaces. -2. W panelu na dole wybierz + New codespace. +2. Wybierz + New codespace na dole panelu. Więcej informacji znajdziesz w [dokumentacji GitHub](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace). ## VSCode Remote - Containers -Wykonaj te kroki, aby otworzyć to repozytorium w kontenerze korzystając z lokalnej maszyny i VSCode za pomocą rozszerzenia VS Code Remote - Containers: +Wykonaj te kroki, aby otworzyć to repozytorium w kontenerze używając swojej lokalnej maszyny i VSCode oraz rozszerzenia VS Code Remote - Containers: -1. Jeśli to Twój pierwszy raz używania kontenera deweloperskiego, upewnij się, że Twój system spełnia wymagania wstępne (np. ma zainstalowanego Dockera) w [dokumentacji startowej](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started). +1. Jeśli używasz kontenera deweloperskiego po raz pierwszy, upewnij się, że Twój system spełnia wymagania wstępne (np. ma zainstalowany Docker) opisane w [dokumentacji rozpoczęcia pracy](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started). -Aby korzystać z tego repozytorium, możesz albo otworzyć repozytorium w izolowanym wolumenie Dockera: +Aby użyć tego repozytorium, możesz otworzyć repozytorium w izolowanym wolumenie Dockera: -**Uwaga**: W tle będzie użyta komenda Remote-Containers: **Clone Repository in Container Volume...** aby sklonować kod źródłowy do wolumenu Dockera zamiast do lokalnego systemu plików. [Wolumeny](https://docs.docker.com/storage/volumes/) są preferowanym mechanizmem utrwalania danych kontenera. +**Uwaga**: Pod spodem będzie używane polecenie Remote-Containers: **Clone Repository in Container Volume...**, które klonuje kod źródłowy do wolumenu Dockera zamiast do lokalnego systemu plików. [Wolumeny](https://docs.docker.com/storage/volumes/) są preferowanym mechanizmem do przechowywania danych kontenera. -Lub otworzyć lokalnie sklonowaną lub pobraną wersję repozytorium: +Lub otwórz lokalnie sklonowaną lub pobraną wersję repozytorium: -- Sklonuj to repozytorium na lokalny dysk. -- Naciśnij F1 i wybierz komendę **Remote-Containers: Open Folder in Container...**. -- Wybierz sklonowany folder, poczekaj na uruchomienie kontenera i przetestuj. +- Sklonuj to repozytorium na swój lokalny system plików. +- Naciśnij F1 i wybierz polecenie **Remote-Containers: Open Folder in Container...**. +- Wybierz sklonowaną kopię tego folderu, poczekaj, aż kontener się uruchomi, i rozpocznij pracę. ## Dostęp offline -Możesz uruchomić tę dokumentację offline, używając [Docsify](https://docsify.js.org/#/). Sforkuj to repozytorium, [zainstaluj Docsify](https://docsify.js.org/#/quickstart) na lokalnym komputerze, a następnie w głównym folderze tego repo wpisz `docsify serve`. Strona zostanie udostępniona na porcie 3000 na Twoim localhost: `localhost:3000`. +Możesz uruchomić tę dokumentację offline, używając [Docsify](https://docsify.js.org/#/). Sforkuj to repozytorium, [zainstaluj Docsify](https://docsify.js.org/#/quickstart) na swojej lokalnej maszynie, następnie w katalogu głównym tego repozytorium wpisz `docsify serve`. Strona będzie dostępna pod adresem localhost:3000. -> Uwaga, notatniki (notebooks) nie będą renderowane przez Docsify, więc gdy potrzebujesz uruchomić notatnik, zrób to osobno w VS Code z uruchomionym jądrem Pythona. +> Uwaga, notatniki (notebooks) nie będą renderowane przez Docsify, więc jeśli potrzebujesz uruchomić notatnik, zrób to oddzielnie w VS Code z uruchomionym kernellem Pythona. ## Inne programy nauczania -Nasz zespół tworzy także inne programy! Sprawdź: +Nasz zespół tworzy także inne programy nauczania! Sprawdź: ### LangChain -[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain4j dla początkujących](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) [![LangChain.js dla początkujących](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- @@ -213,10 +204,10 @@ Nasz zespół tworzy także inne programy! Sprawdź: [![AZD dla początkujących](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI dla początkujących](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP dla początkujących](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Agenci AI dla początkujących](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agenci dla początkujących](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Seria Generatywnej AI [![Generatywna AI dla początkujących](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generatywna AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) @@ -224,9 +215,9 @@ Nasz zespół tworzy także inne programy! Sprawdź: [![Generatywna AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - -### Podstawowa nauka -[![ML dla początkujących](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) + +### Core Learning +[![Uczenie maszynowe dla początkujących](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science dla początkujących](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![AI dla początkujących](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![Cyberbezpieczeństwo dla początkujących](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) @@ -235,22 +226,22 @@ Nasz zespół tworzy także inne programy! Sprawdź: [![XR Development dla początkujących](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Seria Copilot -[![Copilot dla programowania w parze z AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot do programowania współpracującego z AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot dla C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Przygoda Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Przygoda Copilota](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Uzyskiwanie pomocy +## Uzyskanie pomocy -**Masz problemy?** Sprawdź nasz [Przewodnik rozwiązywania problemów](TROUBLESHOOTING.md) z rozwiązaniami najczęstszych problemów. +**Napotykałeś problemy?** Sprawdź nasz [Przewodnik rozwiązywania problemów](TROUBLESHOOTING.md) z rozwiązaniami najczęstszych problemów. -Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczących się i doświadczonych programistów w dyskusjach na temat MCP. To wspierająca społeczność, gdzie pytania są mile widziane, a wiedza jest chętnie dzielona. +Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczących się i doświadczonych programistów, aby dyskutować o MCP. To wspierająca się społeczność, gdzie pytania są mile widziane, a wiedza jest swobodnie dzielona. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Jeśli masz uwagi dotyczące produktu lub napotkasz błędy podczas tworzenia, odwiedź: +Jeśli masz uwagi dotyczące produktu lub zauważysz błędy podczas tworzenia, odwiedź: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) @@ -258,5 +249,5 @@ Jeśli masz uwagi dotyczące produktu lub napotkasz błędy podczas tworzenia, o **Zastrzeżenie**: -Niniejszy dokument został przetłumaczony za pomocą automatycznej usługi tłumaczeniowej [Co-op Translator](https://github.com/Azure/co-op-translator). Choć dokładamy starań, aby tłumaczenie było jak najbardziej precyzyjne, należy pamiętać, że tłumaczenia automatyczne mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym należy uznać za źródło nadrzędne. W przypadku informacji o krytycznym znaczeniu zalecane jest skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z korzystania z tego tłumaczenia. +Dokument ten został przetłumaczony przy użyciu usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż dokładamy starań, aby tłumaczenie było jak najbardziej precyzyjne, prosimy mieć na uwadze, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym należy traktować jako źródło nadrzędne. W przypadku istotnych informacji zaleca się skorzystanie z usług profesjonalnego tłumacza. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia. \ No newline at end of file diff --git a/translations/pl/SECURITY.md b/translations/pl/SECURITY.md index 826ff680..887ead2e 100644 --- a/translations/pl/SECURITY.md +++ b/translations/pl/SECURITY.md @@ -1,12 +1,3 @@ - ## Bezpieczeństwo Microsoft traktuje bezpieczeństwo swoich produktów i usług bardzo poważnie, w tym wszystkich repozytoriów kodu źródłowego zarządzanych przez nasze organizacje na GitHubie, takie jak [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin) oraz [nasze organizacje na GitHubie](https://opensource.microsoft.com/). diff --git a/translations/pl/SUPPORT.md b/translations/pl/SUPPORT.md index f9af9bb8..1f5d7167 100644 --- a/translations/pl/SUPPORT.md +++ b/translations/pl/SUPPORT.md @@ -1,12 +1,3 @@ - # Wsparcie ## Jak zgłaszać problemy i uzyskiwać pomoc diff --git a/translations/pl/TROUBLESHOOTING.md b/translations/pl/TROUBLESHOOTING.md index b764991e..25370d44 100644 --- a/translations/pl/TROUBLESHOOTING.md +++ b/translations/pl/TROUBLESHOOTING.md @@ -1,12 +1,3 @@ - # Przewodnik rozwiązywania problemów Ten przewodnik zawiera rozwiązania typowych problemów, które możesz napotkać podczas pracy z programem nauczania "Data Science for Beginners". diff --git a/translations/pl/USAGE.md b/translations/pl/USAGE.md index 56e38942..9e23c77f 100644 --- a/translations/pl/USAGE.md +++ b/translations/pl/USAGE.md @@ -1,12 +1,3 @@ - # Przewodnik użytkowania Ten przewodnik zawiera przykłady i typowe procesy pracy związane z korzystaniem z programu nauczania "Data Science for Beginners". diff --git a/translations/pl/docs/_sidebar.md b/translations/pl/docs/_sidebar.md index 74cb3e42..333a9dca 100644 --- a/translations/pl/docs/_sidebar.md +++ b/translations/pl/docs/_sidebar.md @@ -1,12 +1,3 @@ - - Wprowadzenie - [Definiowanie Data Science](../1-Introduction/01-defining-data-science/README.md) - [Etyka w Data Science](../1-Introduction/02-ethics/README.md) diff --git a/translations/pl/examples/README.md b/translations/pl/examples/README.md index d4584d04..1b666454 100644 --- a/translations/pl/examples/README.md +++ b/translations/pl/examples/README.md @@ -1,12 +1,3 @@ - # Przykłady Data Science dla Początkujących Witamy w katalogu przykładów! Ta kolekcja prostych, dobrze skomentowanych przykładów została zaprojektowana, aby pomóc Ci rozpocząć przygodę z data science, nawet jeśli jesteś zupełnym nowicjuszem. diff --git a/translations/pl/for-teachers.md b/translations/pl/for-teachers.md index 32a6ddeb..86a674d0 100644 --- a/translations/pl/for-teachers.md +++ b/translations/pl/for-teachers.md @@ -1,12 +1,3 @@ - ## Dla nauczycieli Chcesz wykorzystać ten program nauczania w swojej klasie? Śmiało! diff --git a/translations/pl/quiz-app/README.md b/translations/pl/quiz-app/README.md index bca1049a..ffbe37dd 100644 --- a/translations/pl/quiz-app/README.md +++ b/translations/pl/quiz-app/README.md @@ -1,12 +1,3 @@ - # Quizy Te quizy to quizy przed i po wykładach w ramach programu nauczania data science dostępnego na stronie https://aka.ms/datascience-beginners diff --git a/translations/pl/sketchnotes/README.md b/translations/pl/sketchnotes/README.md index 57af7fd8..faeb767b 100644 --- a/translations/pl/sketchnotes/README.md +++ b/translations/pl/sketchnotes/README.md @@ -1,12 +1,3 @@ - Znajdź wszystkie notatki wizualne tutaj! ## Podziękowania diff --git a/translations/tr/.co-op-translator.json b/translations/tr/.co-op-translator.json new file mode 100644 index 00000000..21832e6d --- /dev/null +++ b/translations/tr/.co-op-translator.json @@ -0,0 +1,422 @@ +{ + "1-Introduction/01-defining-data-science/README.md": { + "original_hash": "43212cc1ac137b7bb1dcfb37ca06b0f4", + 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a/translations/tr/1-Introduction/01-defining-data-science/README.md b/translations/tr/1-Introduction/01-defining-data-science/README.md index e85dc454..710f6b89 100644 --- a/translations/tr/1-Introduction/01-defining-data-science/README.md +++ b/translations/tr/1-Introduction/01-defining-data-science/README.md @@ -1,12 +1,3 @@ - # Veri Biliminin Tanımı | ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) | diff --git a/translations/tr/1-Introduction/01-defining-data-science/assignment.md b/translations/tr/1-Introduction/01-defining-data-science/assignment.md index bd91b6b8..0a670be2 100644 --- a/translations/tr/1-Introduction/01-defining-data-science/assignment.md +++ b/translations/tr/1-Introduction/01-defining-data-science/assignment.md @@ -1,12 +1,3 @@ - # Ödev: Veri Bilimi Senaryoları Bu ilk ödevde, sizden farklı problem alanlarında gerçek hayattaki bir süreç veya problemi düşünmenizi ve Veri Bilimi sürecini kullanarak bunu nasıl geliştirebileceğinizi değerlendirmenizi istiyoruz. Şunları düşünün: diff --git a/translations/tr/1-Introduction/01-defining-data-science/solution/assignment.md b/translations/tr/1-Introduction/01-defining-data-science/solution/assignment.md index 303b4e16..7cd64cc2 100644 --- a/translations/tr/1-Introduction/01-defining-data-science/solution/assignment.md +++ b/translations/tr/1-Introduction/01-defining-data-science/solution/assignment.md @@ -1,12 +1,3 @@ - # Ödev: Veri Bilimi Senaryoları Bu ilk ödevde, farklı problem alanlarında gerçek hayattaki bir süreç veya problemi düşünmenizi ve Veri Bilimi sürecini kullanarak bunu nasıl geliştirebileceğinizi değerlendirmenizi istiyoruz. Şunları düşünün: diff --git a/translations/tr/1-Introduction/02-ethics/README.md b/translations/tr/1-Introduction/02-ethics/README.md index 62174f21..6a915807 100644 --- a/translations/tr/1-Introduction/02-ethics/README.md +++ b/translations/tr/1-Introduction/02-ethics/README.md @@ -1,12 +1,3 @@ - # Veri Etiğine Giriş |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)| diff --git a/translations/tr/1-Introduction/02-ethics/assignment.md b/translations/tr/1-Introduction/02-ethics/assignment.md index 7391582d..6ece9150 100644 --- a/translations/tr/1-Introduction/02-ethics/assignment.md +++ b/translations/tr/1-Introduction/02-ethics/assignment.md @@ -1,12 +1,3 @@ - ## Veri Etiği Vaka Çalışması Yazın ## Talimatlar diff --git a/translations/tr/1-Introduction/03-defining-data/README.md b/translations/tr/1-Introduction/03-defining-data/README.md index 2f6f7ddf..b42de008 100644 --- a/translations/tr/1-Introduction/03-defining-data/README.md +++ b/translations/tr/1-Introduction/03-defining-data/README.md @@ -1,12 +1,3 @@ - # Veriyi Tanımlama |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)| diff --git a/translations/tr/1-Introduction/03-defining-data/assignment.md b/translations/tr/1-Introduction/03-defining-data/assignment.md index 7f5bc816..9b87adec 100644 --- a/translations/tr/1-Introduction/03-defining-data/assignment.md +++ b/translations/tr/1-Introduction/03-defining-data/assignment.md @@ -1,12 +1,3 @@ - # Veri Setlerini Sınıflandırma ## Talimatlar diff --git a/translations/tr/1-Introduction/04-stats-and-probability/README.md b/translations/tr/1-Introduction/04-stats-and-probability/README.md index dab4afb7..337bb05c 100644 --- a/translations/tr/1-Introduction/04-stats-and-probability/README.md +++ b/translations/tr/1-Introduction/04-stats-and-probability/README.md @@ -1,12 +1,3 @@ - # İstatistik ve Olasılığa Kısa Bir Giriş |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)| @@ -64,7 +55,7 @@ Veri dağılımını anlamamıza yardımcı olmak için **çeyreklerden** bahset Medyan ve çeyrekler arasındaki ilişkiyi grafiksel olarak **kutu grafiği** adı verilen bir diyagramda gösterebiliriz: -Kutu Grafiği Açıklaması +Kutu Grafiği Açıklaması Burada ayrıca **çeyrekler arası aralık** IQR=Q3-Q1 ve **aykırı değerler** - [Q1-1.5*IQR,Q3+1.5*IQR] sınırlarının dışında kalan değerler - hesaplanır. diff --git a/translations/tr/1-Introduction/04-stats-and-probability/assignment.md b/translations/tr/1-Introduction/04-stats-and-probability/assignment.md index 617f8a0b..48025802 100644 --- a/translations/tr/1-Introduction/04-stats-and-probability/assignment.md +++ b/translations/tr/1-Introduction/04-stats-and-probability/assignment.md @@ -1,12 +1,3 @@ - # Küçük Diyabet Çalışması Bu ödevde, [buradan](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html) alınan diyabet hastalarına ait küçük bir veri seti ile çalışacağız. diff --git a/translations/tr/1-Introduction/README.md b/translations/tr/1-Introduction/README.md index 84399ec0..c3bece6a 100644 --- a/translations/tr/1-Introduction/README.md +++ b/translations/tr/1-Introduction/README.md @@ -1,12 +1,3 @@ - # Veri Bilimine Giriş ![veri iş başında](../../../translated_images/tr/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg) diff --git a/translations/tr/2-Working-With-Data/05-relational-databases/README.md b/translations/tr/2-Working-With-Data/05-relational-databases/README.md index 7ca31e64..5a796e31 100644 --- a/translations/tr/2-Working-With-Data/05-relational-databases/README.md +++ b/translations/tr/2-Working-With-Data/05-relational-databases/README.md @@ -1,12 +1,3 @@ - # Veri ile Çalışmak: İlişkisel Veritabanları |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)| diff --git a/translations/tr/2-Working-With-Data/05-relational-databases/assignment.md b/translations/tr/2-Working-With-Data/05-relational-databases/assignment.md index 38890ee1..26752201 100644 --- a/translations/tr/2-Working-With-Data/05-relational-databases/assignment.md +++ b/translations/tr/2-Working-With-Data/05-relational-databases/assignment.md @@ -1,12 +1,3 @@ - # Havaalanı Verilerini Görüntüleme Size havaalanları hakkında bilgi içeren [SQLite](https://sqlite.org/index.html) tabanlı bir [veritabanı](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db) sağlandı. Şema aşağıda gösterilmiştir. Farklı şehirlerin havaalanları hakkında bilgi görüntülemek için [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum) içindeki [SQLite eklentisini](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) kullanacaksınız. diff --git a/translations/tr/2-Working-With-Data/06-non-relational/README.md b/translations/tr/2-Working-With-Data/06-non-relational/README.md index 78ecd53d..844015e0 100644 --- a/translations/tr/2-Working-With-Data/06-non-relational/README.md +++ b/translations/tr/2-Working-With-Data/06-non-relational/README.md @@ -1,12 +1,3 @@ - # Verilerle Çalışmak: İlişkisel Olmayan Veriler |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)| diff --git a/translations/tr/2-Working-With-Data/06-non-relational/assignment.md b/translations/tr/2-Working-With-Data/06-non-relational/assignment.md index 85b9b02d..09e7757b 100644 --- a/translations/tr/2-Working-With-Data/06-non-relational/assignment.md +++ b/translations/tr/2-Working-With-Data/06-non-relational/assignment.md @@ -1,12 +1,3 @@ - # Soda Karları ## Talimatlar diff --git a/translations/tr/2-Working-With-Data/07-python/README.md b/translations/tr/2-Working-With-Data/07-python/README.md index a66e0d25..76c13b3f 100644 --- a/translations/tr/2-Working-With-Data/07-python/README.md +++ b/translations/tr/2-Working-With-Data/07-python/README.md @@ -1,12 +1,3 @@ - # Veriyle Çalışmak: Python ve Pandas Kütüphanesi | ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) | diff --git a/translations/tr/2-Working-With-Data/07-python/assignment.md b/translations/tr/2-Working-With-Data/07-python/assignment.md index 8afadcd0..49b668ee 100644 --- a/translations/tr/2-Working-With-Data/07-python/assignment.md +++ b/translations/tr/2-Working-With-Data/07-python/assignment.md @@ -1,12 +1,3 @@ - # Python'da Veri İşleme Ödevi Bu ödevde, zorluklarımız sırasında geliştirmeye başladığımız kodu detaylandırmanızı isteyeceğiz. Ödev iki bölümden oluşmaktadır: diff --git a/translations/tr/2-Working-With-Data/08-data-preparation/README.md b/translations/tr/2-Working-With-Data/08-data-preparation/README.md index bd7ecd70..9e0f142d 100644 --- a/translations/tr/2-Working-With-Data/08-data-preparation/README.md +++ b/translations/tr/2-Working-With-Data/08-data-preparation/README.md @@ -1,12 +1,3 @@ - # Veriyle Çalışmak: Veri Hazırlama |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)| diff --git a/translations/tr/2-Working-With-Data/08-data-preparation/assignment.md b/translations/tr/2-Working-With-Data/08-data-preparation/assignment.md index d3c50820..da02f55d 100644 --- a/translations/tr/2-Working-With-Data/08-data-preparation/assignment.md +++ b/translations/tr/2-Working-With-Data/08-data-preparation/assignment.md @@ -1,12 +1,3 @@ - # Formdan Veri Değerlendirme Bir müşteri, müşteri tabanları hakkında temel veriler toplamak için [küçük bir form](../../../../2-Working-With-Data/08-data-preparation/index.html) test ediyor. Topladıkları verileri doğrulamanız için bulgularını size getirdiler. Formu incelemek için `index.html` sayfasını tarayıcıda açabilirsiniz. diff --git a/translations/tr/2-Working-With-Data/README.md b/translations/tr/2-Working-With-Data/README.md index de267ba8..e0f7dfd6 100644 --- a/translations/tr/2-Working-With-Data/README.md +++ b/translations/tr/2-Working-With-Data/README.md @@ -1,12 +1,3 @@ - # Verilerle Çalışmak ![veri aşkı](../../../translated_images/tr/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg) diff --git a/translations/tr/3-Data-Visualization/09-visualization-quantities/README.md b/translations/tr/3-Data-Visualization/09-visualization-quantities/README.md index d6165a47..e5c1ff43 100644 --- a/translations/tr/3-Data-Visualization/09-visualization-quantities/README.md +++ b/translations/tr/3-Data-Visualization/09-visualization-quantities/README.md @@ -1,12 +1,3 @@ - # Miktarları Görselleştirme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)| diff --git a/translations/tr/3-Data-Visualization/09-visualization-quantities/assignment.md b/translations/tr/3-Data-Visualization/09-visualization-quantities/assignment.md index 715090d9..7ddbb28d 100644 --- a/translations/tr/3-Data-Visualization/09-visualization-quantities/assignment.md +++ b/translations/tr/3-Data-Visualization/09-visualization-quantities/assignment.md @@ -1,12 +1,3 @@ - # Çizgiler, Dağılımlar ve Çubuklar ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/10-visualization-distributions/README.md b/translations/tr/3-Data-Visualization/10-visualization-distributions/README.md index ee25ca0f..75e19fbf 100644 --- a/translations/tr/3-Data-Visualization/10-visualization-distributions/README.md +++ b/translations/tr/3-Data-Visualization/10-visualization-distributions/README.md @@ -1,12 +1,3 @@ - # Dağılımları Görselleştirme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)| diff --git a/translations/tr/3-Data-Visualization/10-visualization-distributions/assignment.md b/translations/tr/3-Data-Visualization/10-visualization-distributions/assignment.md index 7cc3a450..0c805f45 100644 --- a/translations/tr/3-Data-Visualization/10-visualization-distributions/assignment.md +++ b/translations/tr/3-Data-Visualization/10-visualization-distributions/assignment.md @@ -1,12 +1,3 @@ - # Becerilerinizi Uygulayın ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/11-visualization-proportions/README.md b/translations/tr/3-Data-Visualization/11-visualization-proportions/README.md index 6d6eb183..b69f81e9 100644 --- a/translations/tr/3-Data-Visualization/11-visualization-proportions/README.md +++ b/translations/tr/3-Data-Visualization/11-visualization-proportions/README.md @@ -1,12 +1,3 @@ - # Oranları Görselleştirme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)| diff --git a/translations/tr/3-Data-Visualization/11-visualization-proportions/assignment.md b/translations/tr/3-Data-Visualization/11-visualization-proportions/assignment.md index fb8e0218..c4d7c3e4 100644 --- a/translations/tr/3-Data-Visualization/11-visualization-proportions/assignment.md +++ b/translations/tr/3-Data-Visualization/11-visualization-proportions/assignment.md @@ -1,12 +1,3 @@ - # Excel'de Deneyin ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/12-visualization-relationships/README.md b/translations/tr/3-Data-Visualization/12-visualization-relationships/README.md index e8e358d6..3cd7ac20 100644 --- a/translations/tr/3-Data-Visualization/12-visualization-relationships/README.md +++ b/translations/tr/3-Data-Visualization/12-visualization-relationships/README.md @@ -1,12 +1,3 @@ - # İlişkileri Görselleştirme: Bal Hakkında Her Şey 🍯 |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)| diff --git a/translations/tr/3-Data-Visualization/12-visualization-relationships/assignment.md b/translations/tr/3-Data-Visualization/12-visualization-relationships/assignment.md index e8221f38..0b267f6d 100644 --- a/translations/tr/3-Data-Visualization/12-visualization-relationships/assignment.md +++ b/translations/tr/3-Data-Visualization/12-visualization-relationships/assignment.md @@ -1,12 +1,3 @@ - # Arı Kovanına Dalış ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/README.md b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/README.md index 272ec245..614dbc59 100644 --- a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/README.md +++ b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/README.md @@ -1,12 +1,3 @@ - # Anlamlı Görselleştirmeler Yapmak |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)| diff --git a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/assignment.md b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/assignment.md index 757b8422..ed7f4869 100644 --- a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/assignment.md +++ b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/assignment.md @@ -1,12 +1,3 @@ - # Kendi özel görselleştirmelerinizi oluşturun ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/solution/README.md b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/solution/README.md index d61baa6a..8ed82be2 100644 --- a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/solution/README.md +++ b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/solution/README.md @@ -1,12 +1,3 @@ - # Tehlikeli İlişkiler veri görselleştirme projesi Başlamak için, makinenizde NPM ve Node'un çalıştığından emin olmanız gerekiyor. Bağımlılıkları yükleyin (npm install) ve ardından projeyi yerel olarak çalıştırın (npm run serve): diff --git a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/starter/README.md b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/starter/README.md index 2543fe40..5b4f4207 100644 --- a/translations/tr/3-Data-Visualization/13-meaningful-visualizations/starter/README.md +++ b/translations/tr/3-Data-Visualization/13-meaningful-visualizations/starter/README.md @@ -1,12 +1,3 @@ - # Dangerous Liaisons veri görselleştirme projesi Başlamak için, makinenizde NPM ve Node'un çalıştığından emin olmanız gerekiyor. Bağımlılıkları yükleyin (npm install) ve ardından projeyi yerel olarak çalıştırın (npm run serve): diff --git a/translations/tr/3-Data-Visualization/R/09-visualization-quantities/README.md b/translations/tr/3-Data-Visualization/R/09-visualization-quantities/README.md index 5d085e35..d7b563a4 100644 --- a/translations/tr/3-Data-Visualization/R/09-visualization-quantities/README.md +++ b/translations/tr/3-Data-Visualization/R/09-visualization-quantities/README.md @@ -1,12 +1,3 @@ - # Miktarları Görselleştirme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/09-Visualizing-Quantities.png)| |:---:| diff --git a/translations/tr/3-Data-Visualization/R/09-visualization-quantities/assignment.md b/translations/tr/3-Data-Visualization/R/09-visualization-quantities/assignment.md index 510f1ed1..1ad78729 100644 --- a/translations/tr/3-Data-Visualization/R/09-visualization-quantities/assignment.md +++ b/translations/tr/3-Data-Visualization/R/09-visualization-quantities/assignment.md @@ -1,12 +1,3 @@ - # Çizgiler, Dağılımlar ve Çubuklar ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/R/10-visualization-distributions/README.md b/translations/tr/3-Data-Visualization/R/10-visualization-distributions/README.md index b65e875f..56222674 100644 --- a/translations/tr/3-Data-Visualization/R/10-visualization-distributions/README.md +++ b/translations/tr/3-Data-Visualization/R/10-visualization-distributions/README.md @@ -1,12 +1,3 @@ - # Dağılımları Görselleştirme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/10-Visualizing-Distributions.png)| diff --git a/translations/tr/3-Data-Visualization/R/10-visualization-distributions/assignment.md b/translations/tr/3-Data-Visualization/R/10-visualization-distributions/assignment.md index 58e25ce4..eb1bf0b5 100644 --- a/translations/tr/3-Data-Visualization/R/10-visualization-distributions/assignment.md +++ b/translations/tr/3-Data-Visualization/R/10-visualization-distributions/assignment.md @@ -1,12 +1,3 @@ - # Becerilerinizi Uygulayın ## Talimatlar diff --git a/translations/tr/3-Data-Visualization/R/11-visualization-proportions/README.md b/translations/tr/3-Data-Visualization/R/11-visualization-proportions/README.md index 22b09b6b..4352c04a 100644 --- a/translations/tr/3-Data-Visualization/R/11-visualization-proportions/README.md +++ b/translations/tr/3-Data-Visualization/R/11-visualization-proportions/README.md @@ -1,12 +1,3 @@ - # Oranları Görselleştirme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/11-Visualizing-Proportions.png)| diff --git a/translations/tr/3-Data-Visualization/R/12-visualization-relationships/README.md b/translations/tr/3-Data-Visualization/R/12-visualization-relationships/README.md index 1902ef00..5d92f470 100644 --- a/translations/tr/3-Data-Visualization/R/12-visualization-relationships/README.md +++ b/translations/tr/3-Data-Visualization/R/12-visualization-relationships/README.md @@ -1,12 +1,3 @@ - # İlişkileri Görselleştirme: Bal Hakkında Her Şey 🍯 |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/12-Visualizing-Relationships.png)| diff --git a/translations/tr/3-Data-Visualization/R/13-meaningful-vizualizations/README.md b/translations/tr/3-Data-Visualization/R/13-meaningful-vizualizations/README.md index 11715f3b..00bdf87d 100644 --- a/translations/tr/3-Data-Visualization/R/13-meaningful-vizualizations/README.md +++ b/translations/tr/3-Data-Visualization/R/13-meaningful-vizualizations/README.md @@ -1,12 +1,3 @@ - # Anlamlı Görselleştirmeler Yapmak |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/13-MeaningfulViz.png)| diff --git a/translations/tr/3-Data-Visualization/README.md b/translations/tr/3-Data-Visualization/README.md index 268af206..211e0cdc 100644 --- a/translations/tr/3-Data-Visualization/README.md +++ b/translations/tr/3-Data-Visualization/README.md @@ -1,12 +1,3 @@ - # Görselleştirmeler ![lavanta çiçeği üzerinde bir arı](../../../translated_images/tr/bee.0aa1d91132b12e3a8994b9ca12816d05ce1642010d9b8be37f8d37365ba845cf.jpg) diff --git a/translations/tr/4-Data-Science-Lifecycle/14-Introduction/README.md b/translations/tr/4-Data-Science-Lifecycle/14-Introduction/README.md index 2fabfa5f..754a96dc 100644 --- a/translations/tr/4-Data-Science-Lifecycle/14-Introduction/README.md +++ b/translations/tr/4-Data-Science-Lifecycle/14-Introduction/README.md @@ -1,12 +1,3 @@ - # Veri Bilimi Yaşam Döngüsüne Giriş |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/14-DataScience-Lifecycle.png)| diff --git a/translations/tr/4-Data-Science-Lifecycle/14-Introduction/assignment.md b/translations/tr/4-Data-Science-Lifecycle/14-Introduction/assignment.md index b98e1588..228d8410 100644 --- a/translations/tr/4-Data-Science-Lifecycle/14-Introduction/assignment.md +++ b/translations/tr/4-Data-Science-Lifecycle/14-Introduction/assignment.md @@ -1,12 +1,3 @@ - # Bir Veri Setini Değerlendirme Bir müşteri, New York City'deki taksi müşterilerinin mevsimsel harcama alışkanlıklarını araştırmak için ekibinizden yardım istedi. diff --git a/translations/tr/4-Data-Science-Lifecycle/15-analyzing/README.md b/translations/tr/4-Data-Science-Lifecycle/15-analyzing/README.md index 00a69e79..9512435c 100644 --- a/translations/tr/4-Data-Science-Lifecycle/15-analyzing/README.md +++ b/translations/tr/4-Data-Science-Lifecycle/15-analyzing/README.md @@ -1,12 +1,3 @@ - # Veri Bilimi Yaşam Döngüsü: Analiz Etme |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/15-Analyzing.png)| diff --git a/translations/tr/4-Data-Science-Lifecycle/15-analyzing/assignment.md b/translations/tr/4-Data-Science-Lifecycle/15-analyzing/assignment.md index 48e8c1e3..79cfa298 100644 --- a/translations/tr/4-Data-Science-Lifecycle/15-analyzing/assignment.md +++ b/translations/tr/4-Data-Science-Lifecycle/15-analyzing/assignment.md @@ -1,12 +1,3 @@ - # Cevapları Keşfetmek Bu, önceki dersin [ödevi](../14-Introduction/assignment.md) olan ve veri setine kısa bir bakış attığımız çalışmanın devamıdır. Şimdi veriye daha derinlemesine bir göz atacağız. diff --git a/translations/tr/4-Data-Science-Lifecycle/16-communication/README.md b/translations/tr/4-Data-Science-Lifecycle/16-communication/README.md index a7dc2f63..dae4aa3d 100644 --- a/translations/tr/4-Data-Science-Lifecycle/16-communication/README.md +++ b/translations/tr/4-Data-Science-Lifecycle/16-communication/README.md @@ -1,12 +1,3 @@ - # Veri Bilimi Yaşam Döngüsü: İletişim |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev)](../../sketchnotes/16-Communicating.png)| diff --git a/translations/tr/4-Data-Science-Lifecycle/16-communication/assignment.md b/translations/tr/4-Data-Science-Lifecycle/16-communication/assignment.md index 9457ab3f..63a2c424 100644 --- a/translations/tr/4-Data-Science-Lifecycle/16-communication/assignment.md +++ b/translations/tr/4-Data-Science-Lifecycle/16-communication/assignment.md @@ -1,12 +1,3 @@ - # Bir Hikaye Anlat ## Talimatlar diff --git a/translations/tr/4-Data-Science-Lifecycle/README.md b/translations/tr/4-Data-Science-Lifecycle/README.md index c7d0f212..b379f68b 100644 --- a/translations/tr/4-Data-Science-Lifecycle/README.md +++ b/translations/tr/4-Data-Science-Lifecycle/README.md @@ -1,12 +1,3 @@ - # Veri Bilimi Yaşam Döngüsü ![communication](../../../translated_images/tr/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.jpg) diff --git a/translations/tr/5-Data-Science-In-Cloud/17-Introduction/README.md b/translations/tr/5-Data-Science-In-Cloud/17-Introduction/README.md index a52d42a7..2cf11653 100644 --- a/translations/tr/5-Data-Science-In-Cloud/17-Introduction/README.md +++ b/translations/tr/5-Data-Science-In-Cloud/17-Introduction/README.md @@ -1,12 +1,3 @@ - # Bulutta Veri Bilimine Giriş |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)| diff --git a/translations/tr/5-Data-Science-In-Cloud/17-Introduction/assignment.md b/translations/tr/5-Data-Science-In-Cloud/17-Introduction/assignment.md index eef2b65b..9ddd9d50 100644 --- a/translations/tr/5-Data-Science-In-Cloud/17-Introduction/assignment.md +++ b/translations/tr/5-Data-Science-In-Cloud/17-Introduction/assignment.md @@ -1,12 +1,3 @@ - # Pazar Araştırması ## Talimatlar diff --git a/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/README.md b/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/README.md index a36ddd29..ac38c7c9 100644 --- a/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/README.md +++ b/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/README.md @@ -1,12 +1,3 @@ - # Bulutta Veri Bilimi: "Düşük Kod/Hiç Kod" Yöntemi |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/18-DataScience-Cloud.png)| diff --git a/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/assignment.md b/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/assignment.md index 7912a28f..05e95d46 100644 --- a/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/assignment.md +++ b/translations/tr/5-Data-Science-In-Cloud/18-Low-Code/assignment.md @@ -1,12 +1,3 @@ - # Azure ML'de Düşük Kod/Hiç Kod Kullanılmadan Veri Bilimi Projesi ## Talimatlar diff --git a/translations/tr/5-Data-Science-In-Cloud/19-Azure/README.md b/translations/tr/5-Data-Science-In-Cloud/19-Azure/README.md index bbf9e9f3..bc2294ec 100644 --- a/translations/tr/5-Data-Science-In-Cloud/19-Azure/README.md +++ b/translations/tr/5-Data-Science-In-Cloud/19-Azure/README.md @@ -1,12 +1,3 @@ - # Bulutta Veri Bilimi: "Azure ML SDK" Yöntemi |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/19-DataScience-Cloud.png)| diff --git a/translations/tr/5-Data-Science-In-Cloud/19-Azure/assignment.md b/translations/tr/5-Data-Science-In-Cloud/19-Azure/assignment.md index 45e731a5..23f7e9a7 100644 --- a/translations/tr/5-Data-Science-In-Cloud/19-Azure/assignment.md +++ b/translations/tr/5-Data-Science-In-Cloud/19-Azure/assignment.md @@ -1,12 +1,3 @@ - # Azure ML SDK kullanarak Veri Bilimi Projesi ## Talimatlar diff --git a/translations/tr/5-Data-Science-In-Cloud/README.md b/translations/tr/5-Data-Science-In-Cloud/README.md index f13a0fef..cb154cf4 100644 --- a/translations/tr/5-Data-Science-In-Cloud/README.md +++ b/translations/tr/5-Data-Science-In-Cloud/README.md @@ -1,12 +1,3 @@ - # Bulutta Veri Bilimi ![cloud-picture](../../../translated_images/tr/cloud-picture.f5526de3c6c6387b2d656ba94f019b3352e5e3854a78440e4fb00c93e2dea675.jpg) diff --git a/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/README.md b/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/README.md index 3684e82f..f588eed7 100644 --- a/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/README.md +++ b/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/README.md @@ -1,12 +1,3 @@ - # Gerçek Dünyada Veri Bilimi | ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png) | diff --git a/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md b/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md index 683222f5..06f2b64f 100644 --- a/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md +++ b/translations/tr/6-Data-Science-In-Wild/20-Real-World-Examples/assignment.md @@ -1,12 +1,3 @@ - # Bir Gezegen Bilgisayarı Veri Setini Keşfet ## Talimatlar diff --git a/translations/tr/6-Data-Science-In-Wild/README.md b/translations/tr/6-Data-Science-In-Wild/README.md index dd761aea..14fa33e4 100644 --- a/translations/tr/6-Data-Science-In-Wild/README.md +++ b/translations/tr/6-Data-Science-In-Wild/README.md @@ -1,12 +1,3 @@ - # Vahşi Doğada Veri Bilimi Veri biliminin endüstrilerdeki gerçek dünya uygulamaları. diff --git a/translations/tr/AGENTS.md b/translations/tr/AGENTS.md index e0742bfd..728a6487 100644 --- a/translations/tr/AGENTS.md +++ b/translations/tr/AGENTS.md @@ -1,12 +1,3 @@ - # AGENTS.md ## Proje Genel Bakış diff --git a/translations/tr/CODE_OF_CONDUCT.md b/translations/tr/CODE_OF_CONDUCT.md index aea7f02b..e7f2297c 100644 --- a/translations/tr/CODE_OF_CONDUCT.md +++ b/translations/tr/CODE_OF_CONDUCT.md @@ -1,12 +1,3 @@ - # Microsoft Açık Kaynak Davranış Kuralları Bu proje, [Microsoft Açık Kaynak Davranış Kuralları](https://opensource.microsoft.com/codeofconduct/) benimsemiştir. diff --git a/translations/tr/CONTRIBUTING.md b/translations/tr/CONTRIBUTING.md index 10686709..3fe5147b 100644 --- a/translations/tr/CONTRIBUTING.md +++ b/translations/tr/CONTRIBUTING.md @@ -1,12 +1,3 @@ - # Veri Bilimine Giriş için Katkıda Bulunma Veri Bilimine Giriş müfredatına katkıda bulunma ilginiz için teşekkür ederiz! Topluluktan gelen katkıları memnuniyetle karşılıyoruz. diff --git a/translations/tr/INSTALLATION.md b/translations/tr/INSTALLATION.md index c6763e3e..f9601b3b 100644 --- a/translations/tr/INSTALLATION.md +++ b/translations/tr/INSTALLATION.md @@ -1,12 +1,3 @@ - # Kurulum Kılavuzu Bu kılavuz, Başlangıç Seviyesi Veri Bilimi müfredatıyla çalışmak için ortamınızı nasıl kuracağınızı gösterecek. diff --git a/translations/tr/README.md b/translations/tr/README.md index 57ba9326..d4a99a19 100644 --- a/translations/tr/README.md +++ b/translations/tr/README.md @@ -1,206 +1,180 @@ - -# Yeni Başlayanlar İçin Veri Bilimi - Bir Müfredat - -[![GitHub Codespaces'te Aç](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198) - -[![GitHub lisansı](https://img.shields.io/github/license/microsoft/Data-Science-For-Beginners.svg)](https://github.com/microsoft/Data-Science-For-Beginners/blob/master/LICENSE) -[![GitHub katkıda bulunanlar](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/) -[![GitHub sorunlar](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/) -[![GitHub çekme talepleri](https://img.shields.io/github/issues-pr/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/pulls/) -[![Çekme Talepleri Hoş Geldiniz](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) - -[![GitHub izleyiciler](https://img.shields.io/github/watchers/microsoft/Data-Science-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/Data-Science-For-Beginners/watchers/) -[![GitHub çatallar](https://img.shields.io/github/forks/microsoft/Data-Science-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/Data-Science-For-Beginners/network/) -[![GitHub yıldızlar](https://img.shields.io/github/stars/microsoft/Data-Science-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/Data-Science-For-Beginners/stargazers/) +# Yeni Başlayanlar için Veri Bilimi - Bir Müfredat +Azure Bulut Savunucuları, Veri Bilimi ile ilgili 10 hafta, 20 derslik bir müfredata sunmaktan mutluluk duyar. Her ders, ders öncesi ve sonrası quizler, dersi tamamlama için yazılı talimatlar, bir çözüm ve bir ödev içerir. Proje tabanlı pedagojimiz, yeni becerilerin 'kalıcı' olmasını sağlayan kanıtlanmış bir yöntemle inşa ederken öğrenmenizi sağlar. -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) - -[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) - -Microsoft'taki Azure Cloud Advocates, Veri Bilimi hakkında 10 haftalık, 20 derslik bir müfredat sunmaktan mutluluk duyar. Her ders, ders öncesi ve sonrası quizleri, dersi tamamlamak için yazılı talimatlar, çözümler ve ödev içerir. Proje tabanlı pedagojimiz, öğrenirken yapmanızı sağlar; bu, yeni becerilerin 'kalıcı' olmasının kanıtlanmış bir yoludur. - -**Yazarlarımıza yürekten teşekkürler:** [Jasmine Greenaway](https://www.twitter.com/paladique), [Dmitry Soshnikov](http://soshnikov.com), [Nitya Narasimhan](https://twitter.com/nitya), [Jalen McGee](https://twitter.com/JalenMcG), [Jen Looper](https://twitter.com/jenlooper), [Maud Levy](https://twitter.com/maudstweets), [Tiffany Souterre](https://twitter.com/TiffanySouterre), [Christopher Harrison](https://www.twitter.com/geektrainer). +**Yazarlarımıza içten teşekkürler:** [Jasmine Greenaway](https://www.twitter.com/paladique), [Dmitry Soshnikov](http://soshnikov.com), [Nitya Narasimhan](https://twitter.com/nitya), [Jalen McGee](https://twitter.com/JalenMcG), [Jen Looper](https://twitter.com/jenlooper), [Maud Levy](https://twitter.com/maudstweets), [Tiffany Souterre](https://twitter.com/TiffanySouterre), [Christopher Harrison](https://www.twitter.com/geektrainer). -**🙏 Özel teşekkürler 🙏 Microsoft Öğrenci Elçimiz [Microsoft Student Ambassador](https://studentambassadors.microsoft.com/) yazarlarına, inceleyicilerine ve içerik katkıcılarına,** özellikle Aaryan Arora, [Aditya Garg](https://github.com/AdityaGarg00), [Alondra Sanchez](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankita Singh](https://www.linkedin.com/in/ankitasingh007), [Anupam Mishra](https://www.linkedin.com/in/anupam--mishra/), [Arpita Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishita Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majd Safi](https://www.linkedin.com/in/majd-s/), [Max Blum](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguel Correa](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalal](https://twitter.com/iftu119), [Nawrin Tabassum](https://www.linkedin.com/in/nawrin-tabassum), [Raymond Wangsa Putra](https://www.linkedin.com/in/raymond-wp/), [Rohit Yadav](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanya Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200), -[Sheena Narula](https://www.linkedin.com/in/sheena-narua-n/), [Tauqeer Ahmad](https://www.linkedin.com/in/tauqeerahmad5201/), Yogendrasingh Pawar , [Vidushi Gupta](https://www.linkedin.com/in/vidushi-gupta07/), [Jasleen Sondhi](https://www.linkedin.com/in/jasleen-sondhi/) +**🙏 Özel teşekkürler 🙏 [Microsoft Öğrenci Elçisi](https://studentambassadors.microsoft.com/) yazarlarımıza, gözden geçirenlere ve içerik katkıda bulunanlara**, özellikle Aaryan Arora, [Aditya Garg](https://github.com/AdityaGarg00), [Alondra Sanchez](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankita Singh](https://www.linkedin.com/in/ankitasingh007), [Anupam Mishra](https://www.linkedin.com/in/anupam--mishra/), [Arpita Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishita Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majd Safi](https://www.linkedin.com/in/majd-s/), [Max Blum](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguel Correa](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalal](https://twitter.com/iftu119), [Nawrin Tabassum](https://www.linkedin.com/in/nawrin-tabassum), [Raymond Wangsa Putra](https://www.linkedin.com/in/raymond-wp/), [Rohit Yadav](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanya Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200), +[Sheena Narula](https://www.linkedin.com/in/sheena-narua-n/), [Tauqeer Ahmad](https://www.linkedin.com/in/tauqeerahmad5201/), Yogendrasingh Pawar, [Vidushi Gupta](https://www.linkedin.com/in/vidushi-gupta07/), [Jasleen Sondhi](https://www.linkedin.com/in/jasleen-sondhi/) -|![@sketchthedocs tarafından Sketchnote https://sketchthedocs.dev](../../../../translated_images/tr/00-Title.8af36cd35da1ac55.webp)| +|![@sketchthedocs tarafından Sketchnote https://sketchthedocs.dev](../../translated_images/tr/00-Title.8af36cd35da1ac55.webp)| |:---:| -| Yeni Başlayanlar İçin Veri Bilimi - _[@nitya](https://twitter.com/nitya) tarafından Sketchnote_ | +| Yeni Başlayanlar için Veri Bilimi - _[@nitya](https://twitter.com/nitya) tarafından Sketchnote_ | -### 🌐 Çoklu Dil Desteği +### 🌐 Çok Dilli Destek -#### GitHub Action ile Desteklenir (Otomatik & Her Zaman Güncel) +#### GitHub Action ile Desteklenmektedir (Otomatik & Her Zaman Güncel) -[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](./README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](./README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) -> **Yerel Olarak Klonlamayı Tercih Ediyor musunuz?** +> **Yerel olarak Klonlamayı Tercih Ediyor musunuz?** -> Bu depo, indirme boyutunu önemli ölçüde artıran 50'den fazla dil çevirisi içerir. Çeviriler olmadan klonlamak için, seyrek checkout kullanın: +> Bu depo 50+ dil çevirisini içermektedir, bu da indirme boyutunu önemli ölçüde artırır. Çeviriler olmadan klonlamak için sparse checkout kullanın: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/Data-Science-For-Beginners.git > cd Data-Science-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Bu, kursu tamamlamak için gereken her şeyi daha hızlı bir indirme ile sağlar. +> Bu, kursu tamamlamak için ihtiyacınız olan her şeyi çok daha hızlı bir indirme ile size verir. -**Ek çeviri dillerinin desteklenmesini isterseniz, bunlar [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir** +**Ek dil desteği istemeniz durumunda desteklenen diller [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir** #### Topluluğumuza Katılın [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -AI ile öğrenme dizisi Discord'da devam ediyor, daha fazlasını öğrenin ve 18 - 30 Eylül 2025 tarihleri arasında [Learn with AI Series](https://aka.ms/learnwithai/discord) ’e katılın. Veri Bilimi için GitHub Copilot kullanımıyla ilgili ipuçları ve püf noktaları edineceksiniz. +Discord üzerinde AI ile öğrenme serimiz devam ediyor, daha fazla bilgi alın ve 18 - 30 Eylül 2025 arasında [Learn with AI Series](https://aka.ms/learnwithai/discord) topluluğumuza katılın. GitHub Copilot'u Veri Bilimi için kullanmanın ipuçları ve püf noktalarını öğreneceksiniz. -![Learn with AI series](../../../../translated_images/tr/1.2b28cdc6205e26fe.webp) +![Learn with AI series](../../translated_images/tr/1.2b28cdc6205e26fe.webp) # Öğrenci misiniz? Aşağıdaki kaynaklarla başlayın: -- [Öğrenci Merkezi sayfası](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Bu sayfada, yeni başlayan kaynakları, Öğrenci paketlerini ve hatta ücretsiz sertifika kuponu alma yollarını bulacaksınız. İçeriği en az ayda bir değiştirdiğimiz için bu sayfayı yer imlerinize ekleyip zaman zaman kontrol etmek isteyeceksiniz. -- [Microsoft Learn Öğrenci Elçileri](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Küresel bir öğrenci elçileri topluluğuna katılın, bu Microsoft'a giriş yolunuz olabilir. +- [Student Hub sayfası](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Bu sayfada, başlangıç seviyesine uygun kaynaklar, Öğrenci paketleri ve hatta ücretsiz sertifika kuponu edinmenin yollarını bulacaksınız. İçerik ayda en az bir kez değiştirildiği için bu sayfayı zaman zaman yer imlerinize ekleyip kontrol etmek isteyeceksiniz. +- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Küresel öğrenci elçileri topluluğuna katılın, bu Microsoft'a girmek için bir yolunuz olabilir. # Başlarken ## 📚 Dokümantasyon -- **[Kurulum Kılavuzu](INSTALLATION.md)** - Yeni başlayanlar için adım adım kurulum talimatları +- **[Kurulum Kılavuzu](INSTALLATION.md)** - Yeni başlayanlar için adım adım kurulum yönergeleri - **[Kullanım Kılavuzu](USAGE.md)** - Örnekler ve yaygın iş akışları -- **[Sorun Giderme](TROUBLESHOOTING.md)** - Yaygın sorunlar için çözümler +- **[Sorun Giderme](TROUBLESHOOTING.md)** - Yaygın sorunlara çözümler - **[Katkıda Bulunma Kılavuzu](CONTRIBUTING.md)** - Bu projeye nasıl katkıda bulunulur -- **[Öğretmenler İçin](for-teachers.md)** - Öğretim rehberi ve sınıf kaynakları +- **[Öğretmenler için](for-teachers.md)** - Öğretim rehberi ve sınıf kaynakları -## 👨‍🎓 Öğrenciler İçin -> **Tamamen Yeni Başlayanlar**: Veri bilimine yeni misiniz? Başlamak için [yeni başlayan dostu örneklerimize](examples/README.md) göz atın! Bu basit, iyi yorumlanmış örnekler, tam müfredata dalmadan önce temel bilgileri anlamanıza yardımcı olur. -> **[Öğrenciler](https://aka.ms/student-page)**: Bu müfredatı kendi başınıza kullanmak için, tüm depoyu çatallayıp önceden quiz ile başlayarak alıştırmaları kendiniz yapabilirsiniz. Ardından dersi okuyup geri kalan etkinlikleri tamamlayın. Çözümleri kopyalamak yerine dersleri kavrayarak projeleri oluşturmaya çalışın; ancak bu kod, her proje odaklı dersin /solutions klasörlerinde mevcuttur. Bir diğer fikir, arkadaşlarınızla bir çalışma grubu oluşturup içeriği birlikte geçmek olabilir. Daha ileri çalışma için [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum) ’i öneriyoruz. +## 👨‍🎓 Öğrenciler için +> **Tamamen Yeni Başlayanlar**: Veri bilimiyle yeni misiniz? Öncelikle [başlangıç dostu örneklerimiz](examples/README.md) ile başlayın! Bu basit, iyi yorumlanmış örnekler temel bilgileri öğrenmenize yardımcı olacaktır. +> **[Öğrenciler](https://aka.ms/student-page)**: bu müfredatı kendi başınıza kullanmak için tüm repoyu çatallayın ve ders öncesi quiz ile başlayarak alıştırmaları kendiniz tamamlayın. Daha sonra dersi okuyun ve diğer aktiviteleri yapın. Projeleri, çözüm kodunu kopyalamak yerine dersleri kavrayarak oluşturmaya çalışın; ancak bu kod her proje odaklı derste /solutions klasörlerinde mevcuttur. Bir diğer fikir, arkadaşlarınızla bir çalışma grubu oluşturup içeriği birlikte gözden geçirmektir. Daha ileri çalışma için [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum) öneriyoruz. **Hızlı Başlangıç:** -1. Ortamınızı kurmak için [Kurulum Kılavuzu](INSTALLATION.md)'nu inceleyin -2. Müfredatla nasıl çalışılacağını öğrenmek için [Kullanım Kılavuzu](USAGE.md)'nu gözden geçirin -3. 1. Dersle başlayın ve sırasıyla ilerleyin +1. Ortamınızı kurmak için [Kurulum Kılavuzu](INSTALLATION.md)'nu kontrol edin +2. Müfredatla nasıl çalışacağınızı öğrenmek için [Kullanım Kılavuzu](USAGE.md)'nu inceleyin +3. Ders 1 ile başlayıp sırayla ilerleyin 4. Destek için [Discord topluluğumuza](https://aka.ms/ds4beginners/discord) katılın -## 👩‍🏫 Öğretmenler İçin +## 👩‍🏫 Öğretmenler için -> **Öğretmenler**: Bu müfredatı nasıl kullanacağınıza dair bazı öneriler [ekledik](for-teachers.md). Geri bildiriminizi [tartışma forumumuzda](https://github.com/microsoft/Data-Science-For-Beginners/discussions) bekliyoruz! +> **Öğretmenler**: bu müfredatı nasıl kullanabileceğinize dair [bazı öneriler](for-teachers.md) ekledik. Geri bildirimlerinizi [tartışma forumumuzda](https://github.com/microsoft/Data-Science-For-Beginners/discussions) bekliyoruz! +## Ekiple Tanışın -## Takımla Tanışın [![Tanıtım videosu](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Tanıtım videosu") **Gif yapan** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal) -> 🎥 Proje ve onu oluşturan ekip hakkında bir video izlemek için yukarıdaki görsele tıklayın! +> 🎥 Proje ve onu yaratan ekip hakkında bir video için yukarıdaki resme tıklayın! ## Pedagoji -Bu müfredatı oluştururken iki pedagojik ilkeyi seçtik: proje tabanlı olması ve sık sık quizler içermesi. Bu serinin sonunda öğrenciler etik kavramlar, veri hazırlama, verilerle çalışma şekilleri, veri görselleştirme, veri analizi, veri biliminin gerçek dünya kullanım alanları ve daha fazlası dahil olmak üzere veri biliminin temel prensiplerini öğrenmiş olacaklar. +Bu müfredatı oluştururken iki pedagojik ilke seçtik: proje tabanlı olması ve sık sık sınavlar içermesi. Bu serinin sonunda öğrenciler, etik kavramlar, veri hazırlama, verilerle çalışma farklı yolları, veri görselleştirme, veri analizi, veri biliminin gerçek dünya kullanım örnekleri ve daha fazlasını içeren veri biliminin temel prensiplerini öğrenmiş olacaklar. -Ayrıca, dersten önce yapılan düşük riskli bir quiz öğrencinin bir konuyu öğrenme niyetini belirlerken, dersten sonra yapılan ikinci bir quiz bilgilerinin daha iyi kalıcı olmasını sağlar. Bu müfredat esnek ve eğlenceli olacak şekilde tasarlandı ve tamamı ya da bölümler halinde alınabilir. Projeler küçük başlar ve 10 haftalık döngünün sonunda giderek daha karmaşık hale gelir. +Ayrıca, bir dersten önce düşük riskli bir sınav öğrenci için konuyu öğrenme niyeti belirlerken, dersten sonra ikinci bir sınav ise bilgilerin kalıcılığını artırır. Bu müfredat esnek ve eğlenceli olacak şekilde tasarlandı ve tamamen ya da kısmen alınabilir. Projeler küçük başlar ve 10 haftalık döngünün sonunda giderek karmaşıklaşır. -> [Davranış Kurallarımızı](CODE_OF_CONDUCT.md), [Katkıda Bulunma](CONTRIBUTING.md), [Çeviri](TRANSLATIONS.md) rehberlerimizi bulun. Yapıcı geri bildirimlerinizi memnuniyetle karşılıyoruz! +> [Davranış Kurallarımızı](CODE_OF_CONDUCT.md), [Katkıda Bulunma](CONTRIBUTING.md), [Çeviri](TRANSLATIONS.md) rehberlerimizi bulun. Yapıcı geri bildiriminizi bekliyoruz! -## Her ders şunları içerir: +## Her ders içerir: - İsteğe bağlı taslak notu -- İsteğe bağlı destekleyici video +- İsteğe bağlı tamamlayıcı video - Dersten önce ısınma sınavı - Yazılı ders -- Proje tabanlı derslerde, projenin nasıl yapılacağına dair adım adım rehberler +- Proje tabanlı dersler için projenin adım adım yapımı rehberleri - Bilgi kontrolü - Bir meydan okuma -- Destekleyici okuma +- Tamamlayıcı kaynak okuması - Ödev -- [Dersten sonra quiz](https://ff-quizzes.netlify.app/en/) +- [Dersten sonra sınav](https://ff-quizzes.netlify.app/en/) -> **Quizzler hakkında bir not**: Tüm quizler Quiz-App klasöründe bulunur, toplam 40 adet her biri 3 sorudan oluşan quiz vardır. Derslerin içinde bağlantılar verilmiştir, ancak quiz uygulaması yerel olarak çalıştırılabilir veya Azure’a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler kademeli olarak yerelleştirilmektedir. +> **Sınavlar hakkında not**: Tüm sınavlar Quiz-App klasöründe yer alır, toplam 40 adet üç soruluk sınav bulunur. Derslerin içinde bağlantı verilmiştir, ayrıca sınav uygulaması yerelde çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları takip edin. Sınavlar kademeli olarak yerelleştirilmektedir. -## 🎓 Yeni Başlayanlar İçin Örnekler +## 🎓 Yeni Başlayanlar için Örnekler -**Veri Bilimine yeni misiniz?** Başlangıç yapmanız için basit, iyi yorumlanmış kodlarla özel bir [örnek dizini](examples/README.md) oluşturduk: +**Veri Biliminde yen misiniz?** Başlamanıza yardımcı olması için basit, iyi yorumlanmış kod içeren özel bir [örnekler dizini](examples/README.md) oluşturduk: - 🌟 **Merhaba Dünya** - İlk veri bilimi programınız -- 📂 **Veri Yükleme** - Veri setlerini okumayı ve keşfetmeyi öğrenin -- 📊 **Basit Analiz** - İstatistik hesaplayın ve kalıpları bulun -- 📈 **Temel Görselleştirme** - Grafik ve çizelgeler oluşturun +- 📂 **Veri Yükleme** - Veri setlerini okuma ve keşfetmeyi öğrenin +- 📊 **Basit Analiz** - İstatistik hesaplayın ve desenler bulun +- 📈 **Temel Görselleştirme** - Grafikler ve çizeler oluşturun - 🔬 **Gerçek Dünya Projesi** - Baştan sona tam iş akışı -Her örnek her adımı ayrıntılı yorumlarla açıklar, bu yüzden tamamen yeni başlayanlar için mükemmeldir! +Her örnek, her adımı açıklayan ayrıntılı yorumlar içerir, bu nedenle tamamen yeni başlayanlar için mükemmeldir! 👉 **[Örneklerle başlayın](examples/README.md)** 👈 ## Dersler -|![ @sketchthedocs tarafından çizim https://sketchthedocs.dev](../../../../translated_images/tr/00-Roadmap.4905d6567dff4753.webp)| +|![ @sketchthedocs tarafından Taslak not https://sketchthedocs.dev](../../translated_images/tr/00-Roadmap.4905d6567dff4753.webp)| |:---:| -| Veri Bilimine Yeni Başlayanlar: Yol Haritası - _[@nitya](https://twitter.com/nitya) tarafından çizim_ | +| Yeni Başlayanlar için Veri Bilimi Yol Haritası - _Taslak not [@nitya](https://twitter.com/nitya) tarafından_ | -| Ders Numarası | Konu | Ders Gruplaması | Öğrenme Hedefleri | Bağlantılı Ders | Yazar | +| Ders Numarası | Konu | Ders Grubu | Öğrenme Hedefleri | Bağlantılı Ders | Yazar | | :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: | -| 01 | Veri Bilimini Tanımlama | [Giriş](1-Introduction/README.md) | Veri biliminin temel kavramlarını ve yapay zeka, makine öğrenmesi ve büyük veri ile ilişkisini öğrenin. | [ders](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I)| [Dmitry](http://soshnikov.com) | -| 02 | Veri Etiği | [Giriş](1-Introduction/README.md) | Veri Etiği Kavramları, Zorluklar ve Çerçeveler. | [ders](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) | +| 01 | Veri Bilimini Tanımlama | [Giriş](1-Introduction/README.md) | Veri biliminin temel kavramlarını ve yapay zeka, makine öğrenimi ve büyük veriyle ilişkisini öğrenin. | [ders](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) | +| 02 | Veri Bilimi Etiği | [Giriş](1-Introduction/README.md) | Veri Etiği Kavramları, Zorluklar ve Çerçeveler. | [ders](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) | | 03 | Veriyi Tanımlama | [Giriş](1-Introduction/README.md) | Verinin nasıl sınıflandırıldığı ve yaygın kaynakları. | [ders](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) | -| 04 | İstatistik ve Olasılığa Giriş | [Giriş](1-Introduction/README.md) | Veriyi anlamak için olasılık ve istatistiğin matematiksel teknikleri. | [ders](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | -| 05 | İlişkisel Veri ile Çalışma | [Veri ile Çalışma](2-Working-With-Data/README.md) | İlişkisel veriye giriş ve SQL (Structured Query Language) kullanarak ilişkisel verinin keşfi ve analizi temelleri. | [ders](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | -| 06 | NoSQL Verisi ile Çalışma | [Veri ile Çalışma](2-Working-With-Data/README.md) | İlişkisel olmayan veriye giriş, çeşitli türleri ve doküman veritabanlarının keşfi ve analizi temelleri. | [ders](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique) | -| 07 | Python ile Çalışma | [Veri ile Çalışma](2-Working-With-Data/README.md) | Pandas gibi kütüphanelerle data keşif için Python kullanmanın temelleri. Python programlama temeli önerilir. | [ders](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | -| 08 | Veri Hazırlama | [Veri ile Çalışma](2-Working-With-Data/README.md) | Eksik, yanlış veya eksik verilerin zorluklarıyla başa çıkmak için veriyi temizleme ve dönüştürme teknikleri. | [ders](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | -| 09 | Miktarları Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Matplotlib kullanarak kuş verisini görselleştirmeyi öğrenin 🦆 | [ders](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | -| 10 | Veri Dağılımlarını Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Bir aralıktaki gözlemleri ve eğilimleri görselleştirme. | [ders](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) | -| 11 | Oranları Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Kesikli ve gruplanmış yüzdeleri görselleştirme. | [ders](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) | +| 04 | İstatistik ve Olasılığa Giriş | [Giriş](1-Introduction/README.md) | Veriyi anlamak için olasılık ve istatistik matematiksel teknikleri. | [ders](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | +| 05 | İlişkisel Veri ile Çalışma | [Veri ile Çalışma](2-Working-With-Data/README.md) | İlişkisel veriye giriş ve Yapılandırılmış Sorgu Dili (SQL) ile ilişkisel veriyi keşfetme ve analiz etme temelleri. | [ders](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | +| 06 | NoSQL Veri ile Çalışma | [Veri ile Çalışma](2-Working-With-Data/README.md) | İlişkisel olmayan veriye giriş, farklı türleri ve belge veritabanlarını keşfetme ve analiz etme temelleri. | [ders](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)| +| 07 | Python ile Çalışma | [Veri ile Çalışma](2-Working-With-Data/README.md) | Pandas gibi kütüphanelerle veri keşfi için Python kullanımı temelleri. Temel Python programlama bilgisi önerilir. | [ders](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | +| 08 | Veri Hazırlama | [Veri ile Çalışma](2-Working-With-Data/README.md) | Eksik, hatalı veya tamamlanmamış verilerin zorluklarıyla başa çıkmak için veriyi temizleme ve dönüştürme teknikleri. | [ders](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | +| 09 | Miktarları Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Matplotlib kullanarak kuş verisini görselleştirin 🦆 | [ders](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | +| 10 | Verinin Dağılımlarını Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Bir aralıktaki gözlemleri ve eğilimleri görselleştirme. | [ders](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) | +| 11 | Oranları Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Ayrık ve gruplanmış yüzdeleri görselleştirme. | [ders](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) | | 12 | İlişkileri Görselleştirme | [Veri Görselleştirme](3-Data-Visualization/README.md) | Veri setleri ve değişkenleri arasındaki bağlantı ve korelasyonları görselleştirme. | [ders](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) | -| 13 | Anlamlı Görselleştirmeler | [Veri Görselleştirme](3-Data-Visualization/README.md) | Görselleştirmelerin etkili problem çözme ve içgörüler için değerli olması adına teknikler ve rehberlik. | [ders](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | -| 14 | Veri Bilimi Yaşam Döngüsüne Giriş | [Yaşam Döngüsü](4-Data-Science-Lifecycle/README.md) | Veri bilimi yaşam döngüsünün tanıtımı ve veri elde etme ve çıkarma aşaması. | [ders](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | -| 15 | Analiz | [Yaşam Döngüsü](4-Data-Science-Lifecycle/README.md) | Veri bilimi yaşam döngüsünün veri analiz tekniklerine odaklanma aşaması. | [ders](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | -| 16 | İletişim | [Yaşam Döngüsü](4-Data-Science-Lifecycle/README.md) | Veri bilimi yaşam döngüsünün, karar vericilerin anlamasını kolaylaştıracak şekilde veri içgörülerini sunmaya odaklanan aşaması. | [ders](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | -| 17 | Bulutta Veri Bilimi | [Bulut Verisi](5-Data-Science-In-Cloud/README.md) | Bulutta veri bilimine giriş ve avantajları hakkında bir dizi ders. | [ders](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ve [Maud](https://twitter.com/maudstweets) | -| 18 | Bulutta Veri Bilimi | [Bulut Verisi](5-Data-Science-In-Cloud/README.md) | Düşük Kod araçlarıyla modellerin eğitimi. |[ders](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ve [Maud](https://twitter.com/maudstweets) | -| 19 | Bulutta Veri Bilimi | [Bulut Verisi](5-Data-Science-In-Cloud/README.md) | Azure Machine Learning Studio ile modellerin dağıtımı. | [ders](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) ve [Maud](https://twitter.com/maudstweets) | -| 20 | Vahşi Doğada Veri Bilimi | [Vahşi Doğada](6-Data-Science-In-Wild/README.md) | Gerçek dünyada veri bilimi odaklı projeler. | [ders](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | +| 13 | Anlamlı Görselleştirmeler | [Veri Görselleştirme](3-Data-Visualization/README.md) | Görselleştirmelerinizi etkili problem çözme ve içgörüler için değerli hale getirmek için teknikler ve rehberlik. | [ders](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | +| 14 | Veri Bilimi Yaşam Döngüsüne Giriş | [Yaşam Döngüsü](4-Data-Science-Lifecycle/README.md) | Veri bilimi yaşam döngüsüne giriş ve veri edinme, çıkarma ilk adımı. | [ders](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | +| 15 | Analiz Etme | [Yaşam Döngüsü](4-Data-Science-Lifecycle/README.md) | Veri bilimi yaşam döngüsünün bu aşaması veriyi analiz etme tekniklerine odaklanır. | [ders](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | +| 16 | İletişim | [Yaşam Döngüsü](4-Data-Science-Lifecycle/README.md) | Veri bilimi yaşam döngüsünün bu aşaması veriden elde edilen içgörüleri karar vericilerin daha iyi anlayabileceği şekilde sunmaya odaklanır. | [ders](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | +| 17 | Bulutta Veri Bilimi | [Bulut Verisi](5-Data-Science-In-Cloud/README.md) | Bu dizi derslerde bulutta veri bilimine ve faydalarına giriş yapılır. | [ders](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ve [Maud](https://twitter.com/maudstweets) | +| 18 | Bulutta Veri Bilimi | [Bulut Verisi](5-Data-Science-In-Cloud/README.md) | Düşük Kod araçları kullanarak modeller eğitme. |[ders](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ve [Maud](https://twitter.com/maudstweets) | +| 19 | Bulutta Veri Bilimi | [Bulut Verisi](5-Data-Science-In-Cloud/README.md) | Azure Machine Learning Studio ile modelleri dağıtma. | [ders](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) ve [Maud](https://twitter.com/maudstweets) | +| 20 | Doğada Veri Bilimi | [Doğada](6-Data-Science-In-Wild/README.md) | Gerçek dünyada veri bilimi odaklı projeler. | [ders](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | ## GitHub Codespaces -Bu örneği bir Codespace içinde açmak için şu adımları izleyin: +Bu örneği bir Codespace'de açmak için şu adımları takip edin: 1. Kod açılır menüsüne tıklayın ve Open with Codespaces seçeneğini seçin. -2. Panelin altındaki + New codespace seçeneğini seçin. +2. Panelin altında + New codespace'i seçin. Daha fazla bilgi için [GitHub dokümantasyonuna](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace) bakabilirsiniz. ## VSCode Remote - Containers -Bu depoyu yerel makinenizde ve VSCode kullanarak VS Code Remote - Containers eklentisi ile bir konteyner içinde açmak için şu adımları izleyin: +Bu repoyu yerel makinenizde ve VSCode ile, VS Code Remote - Containers eklentisi kullanarak bir konteynerde açmak için şu adımları izleyin: -1. Eğer geliştirme konteynerini ilk defa kullanıyorsanız, sisteminizin ön koşulları karşıladığından emin olun (örneğin Docker yüklü olsun) [başlangıç dokümantasyonunda](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started) belirtildiği gibi. +1. Geliştirme konteyneri kullanıyorsanız, sisteminizde gerekli önkoşulların (örneğin Docker) olduğundan emin olun: [başlangıç dokümantasyonu](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started). -Bu depoyu kullanmak için, ya repoyu izole bir Docker hacminde açabilirsiniz: +Bu repoyu şu şekilde kullanabilirsiniz, ya repoyu izole bir Docker hacminde açın: -**Not:** Bu arka planda Remote-Containers: **Clone Repository in Container Volume...** komutunu kullanarak kaynak kodu yerel dosya sistemi yerine bir Docker hacmine klonlar. [Hacimler](https://docs.docker.com/storage/volumes/) konteyner verilerini kalıcı hale getirmek için tercih edilen mekanizmadır. +**Not**: Altında Remote-Containers: **Clone Repository in Container Volume...** komutunu kullanarak kaynak kodu yerel dosya sistemi yerine Docker hacminde klonlayacaktır. [Hacimler](https://docs.docker.com/storage/volumes/), konteyner verilerini kalıcı hale getirmek için tercih edilen mekanizmadır. -Ya da yerel olarak klonlanmış veya indirilmiş versiyonunu açabilirsiniz: +Ya da repoyu yerel klonlayarak veya indirerek açın: -- Bu depoyu yerel dosya sisteminize klonlayın. -- F1 tuşuna basın ve **Remote-Containers: Open Folder in Container...** komutunu seçin. -- Bu klasörün klonlanmış kopyasını seçin, konteynerin başlamasını bekleyin ve deneyin. +- Repoyu yerel dosya sisteminize klonlayın. +- F1'e basın ve **Remote-Containers: Open Folder in Container...** komutunu seçin. +- Bu klasörün klonlanmış kopyasını seçin, konteynerin başlamasını bekleyin ve denemeye başlayın. ## Çevrimdışı erişim -Bu dokümantasyonu çevrimdışı kullanmak için [Docsify](https://docsify.js.org/#/) kullanabilirsiniz. Bu depoyu çatallayın, [Docsify kurulumunu](https://docsify.js.org/#/quickstart) yerel makinenize yapın, ardından bu deponun kök klasöründe `docsify serve` yazın. Site localhost üzerinde 3000 portundan erişilebilir olacaktır: `localhost:3000`. +Bu dokümantasyonu çevrimdışı [Docsify](https://docsify.js.org/#/) kullanarak çalıştırabilirsiniz. Bu repoyu çatallayın, yerel makinenize [Docsify kurun](https://docsify.js.org/#/quickstart), sonra bu repoda kök klasörde `docsify serve` yazarak çalıştırın. Site localhost:3000 portunda yayınlanacaktır: `localhost:3000`. -> Not, not defterleri Docsify ile görüntülenmez, bu nedenle bir not defteri çalıştırmanız gerektiğinde bunu VS Code’da Python çekirdeği çalıştırarak ayrı yapın. +> Not, not defterleri Docsify tarafından işlenmez, bu yüzden bir not defteri çalıştırmak istediğinizde bunu ayrı olarak VS Code'da Python kernel kullanarak yapın. ## Diğer Müfredatlar -Ekibimiz başka müfredatlar da üretiyor! İnceleyin: +Ekibimiz başka müfredatlar üretiyor! Şunlara göz atın: ### LangChain @@ -209,7 +183,7 @@ Ekibimiz başka müfredatlar da üretiyor! İnceleyin: --- -### Azure / Edge / MCP / Agentler +### Azure / Edge / MCP / Ajanlar [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) @@ -244,13 +218,13 @@ Ekibimiz başka müfredatlar da üretiyor! İnceleyin: ## Yardım Alma -**Sorun mu yaşıyorsunuz?** Yaygın sorunlar için çözümleri görmek üzere [Sorun Giderme Rehberimizi](TROUBLESHOOTING.md) inceleyin. +**Sorun mu yaşıyorsunuz?** Yaygın sorunlara çözümler için [Sorun Giderme Rehberimizi](TROUBLESHOOTING.md) kontrol edin. -Yapay zeka uygulamaları geliştirme hakkında takılırsanız veya herhangi bir sorunuz olursa, MCP hakkında tartışmalara katılmak için diğer öğrenenler ve deneyimli geliştiricilere katılın. Soruların hoş karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur. +AI uygulamaları oluştururken takılırsanız veya herhangi bir sorunuz varsa. MCP hakkında tartışmalara katılmak için diğer öğrenenler ve deneyimli geliştiricilerle buluşun. Soruların memnuniyetle karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Ürün geribildirimi veya geliştirme sırasında karşılaştığınız hatalar için ziyaret edin: +Ürün geri bildirimi veya yapım sırasında hatalarınız varsa ziyaret edin: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) @@ -258,5 +232,5 @@ Yapay zeka uygulamaları geliştirme hakkında takılırsanız veya herhangi bir **Feragatname**: -Bu belge, AI çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba gösterilse de, otomatik çevirilerin hatalar veya yanlışlıklar içerebileceğini lütfen unutmayınız. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımı sonucu oluşabilecek yanlış anlamalar veya yorum hatalarından sorumlu tutulamayız. +Bu belge, AI çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba gösterilse de, otomatik çevirilerin hatalar veya yanlışlıklar içerebileceğini lütfen unutmayınız. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çeviri kullanımı nedeniyle oluşabilecek yanlış anlamalar veya yanlış yorumlamalardan sorumlu değiliz. \ No newline at end of file diff --git a/translations/tr/SECURITY.md b/translations/tr/SECURITY.md index 3a83dc3b..bd5eaf11 100644 --- a/translations/tr/SECURITY.md +++ b/translations/tr/SECURITY.md @@ -1,12 +1,3 @@ - ## Güvenlik Microsoft, yazılım ürünlerimizin ve hizmetlerimizin güvenliğini ciddiye alır. Bu, [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin) ve [diğer GitHub organizasyonlarımız](https://opensource.microsoft.com/) dahil olmak üzere GitHub organizasyonlarımız aracılığıyla yönetilen tüm kaynak kodu depolarını kapsar. diff --git a/translations/tr/SUPPORT.md b/translations/tr/SUPPORT.md index 57f16013..9ad2f94c 100644 --- a/translations/tr/SUPPORT.md +++ b/translations/tr/SUPPORT.md @@ -1,12 +1,3 @@ - # Destek ## Sorun Bildirme ve Yardım Alma diff --git a/translations/tr/TROUBLESHOOTING.md b/translations/tr/TROUBLESHOOTING.md index 0fc63295..21f1da3d 100644 --- a/translations/tr/TROUBLESHOOTING.md +++ b/translations/tr/TROUBLESHOOTING.md @@ -1,12 +1,3 @@ - # Sorun Giderme Kılavuzu Bu kılavuz, Data Science for Beginners müfredatıyla çalışırken karşılaşabileceğiniz yaygın sorunlara çözümler sunar. diff --git a/translations/tr/USAGE.md b/translations/tr/USAGE.md index 0ddca1a2..97565e90 100644 --- a/translations/tr/USAGE.md +++ b/translations/tr/USAGE.md @@ -1,12 +1,3 @@ - # Kullanım Kılavuzu Bu kılavuz, Veri Bilimi için Başlangıç müfredatını kullanmaya yönelik örnekler ve yaygın iş akışlarını sunar. diff --git a/translations/tr/docs/_sidebar.md b/translations/tr/docs/_sidebar.md index baac8e73..c0b895dd 100644 --- a/translations/tr/docs/_sidebar.md +++ b/translations/tr/docs/_sidebar.md @@ -1,12 +1,3 @@ - - Giriş - [Veri Bilimini Tanımlama](../1-Introduction/01-defining-data-science/README.md) - [Veri Bilimi Etiği](../1-Introduction/02-ethics/README.md) diff --git a/translations/tr/examples/README.md b/translations/tr/examples/README.md index ab381b18..2e4dea29 100644 --- a/translations/tr/examples/README.md +++ b/translations/tr/examples/README.md @@ -1,12 +1,3 @@ - # Yeni Başlayanlar İçin Veri Bilimi Örnekleri Örnekler dizinine hoş geldiniz! Bu basit ve iyi açıklanmış örnekler koleksiyonu, tamamen yeni başlayanlar için bile veri bilimine başlamayı kolaylaştırmak amacıyla tasarlandı. diff --git a/translations/tr/for-teachers.md b/translations/tr/for-teachers.md index 280dbebb..ec5070e0 100644 --- a/translations/tr/for-teachers.md +++ b/translations/tr/for-teachers.md @@ -1,12 +1,3 @@ - ## Eğitimciler İçin Bu müfredatı sınıfınızda kullanmak ister misiniz? Lütfen çekinmeden kullanın! diff --git a/translations/tr/quiz-app/README.md b/translations/tr/quiz-app/README.md index cdb19613..71b05ab2 100644 --- a/translations/tr/quiz-app/README.md +++ b/translations/tr/quiz-app/README.md @@ -1,12 +1,3 @@ - # Quizler Bu quizler, https://aka.ms/datascience-beginners adresindeki veri bilimi müfredatının ders öncesi ve sonrası quizleridir. diff --git a/translations/tr/sketchnotes/README.md b/translations/tr/sketchnotes/README.md index 176ec419..34b44de0 100644 --- a/translations/tr/sketchnotes/README.md +++ b/translations/tr/sketchnotes/README.md @@ -1,12 +1,3 @@ - Tüm sketchnotelere buradan ulaşabilirsiniz! ## Katkıda Bulunanlar