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# Andmeteaduse määratlemine # Andmeteaduse määratlemine
| ![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) | | ![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) |

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# Ülesanne: Andmeteaduse stsenaariumid # Ülesanne: Andmeteaduse stsenaariumid
Selles esimeses ülesandes palume teil mõelda mõnele päriselulisele protsessile või probleemile erinevates valdkondades ja sellele, kuidas saaksite seda parandada andmeteaduse protsessi abil. Mõelge järgmistele küsimustele: Selles esimeses ülesandes palume teil mõelda mõnele päriselulisele protsessile või probleemile erinevates valdkondades ja sellele, kuidas saaksite seda parandada andmeteaduse protsessi abil. Mõelge järgmistele küsimustele:

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# Ülesanne: Andmeteaduse stsenaariumid # Ülesanne: Andmeteaduse stsenaariumid
Selles esimeses ülesandes palume teil mõelda mõnele päriselulisele protsessile või probleemile erinevates valdkondades ja sellele, kuidas saaksite seda parandada andmeteaduse protsessi abil. Mõelge järgmistele punktidele: Selles esimeses ülesandes palume teil mõelda mõnele päriselulisele protsessile või probleemile erinevates valdkondades ja sellele, kuidas saaksite seda parandada andmeteaduse protsessi abil. Mõelge järgmistele punktidele:

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# Sissejuhatus andme-eetikasse # Sissejuhatus andme-eetikasse
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)|

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## Kirjuta andme-eetika juhtumiuuring ## Kirjuta andme-eetika juhtumiuuring
## Juhised ## Juhised

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# Andmete määratlemine # Andmete määratlemine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)|

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# Andmekogumite klassifitseerimine # Andmekogumite klassifitseerimine
## Juhised ## Juhised

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# Lühike sissejuhatus statistikasse ja tõenäosusteooriasse # Lühike sissejuhatus statistikasse ja tõenäosusteooriasse
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)|

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# Väike Diabeediuuring # Väike Diabeediuuring
Selles ülesandes töötame väikese diabeedipatsientide andmestikuga, mis on võetud [siit](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html). Selles ülesandes töötame väikese diabeedipatsientide andmestikuga, mis on võetud [siit](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html).

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# Sissejuhatus andmeteadusesse # Sissejuhatus andmeteadusesse
![andmed tegevuses](../../../translated_images/et/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg) ![andmed tegevuses](../../../translated_images/et/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg)

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# Andmetega töötamine: relatsioonandmebaasid # Andmetega töötamine: relatsioonandmebaasid
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)|

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# Lennujaamade andmete kuvamine # Lennujaamade andmete kuvamine
Teile on antud [andmebaas](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db), mis on loodud [SQLite](https://sqlite.org/index.html) abil ja sisaldab teavet lennujaamade kohta. Skeem on allpool kuvatud. Kasutate [SQLite laiendust](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) [Visual Studio Code'is](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum), et kuvada teavet erinevate linnade lennujaamade kohta. Teile on antud [andmebaas](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db), mis on loodud [SQLite](https://sqlite.org/index.html) abil ja sisaldab teavet lennujaamade kohta. Skeem on allpool kuvatud. Kasutate [SQLite laiendust](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) [Visual Studio Code'is](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum), et kuvada teavet erinevate linnade lennujaamade kohta.

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# Töötamine andmetega: Mitte-relatsioonilised andmed # Töötamine andmetega: Mitte-relatsioonilised andmed
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)|

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# Soda Kasumid # Soda Kasumid
## Juhised ## Juhised

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# Töötamine andmetega: Python ja Pandas teek # Töötamine andmetega: Python ja Pandas teek
| ![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) | | ![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) |

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# Ülesanne: Andmetöötlus Pythonis # Ülesanne: Andmetöötlus Pythonis
Selles ülesandes palume teil täiendada koodi, mida oleme väljakutsetes alustanud. Ülesanne koosneb kahest osast: Selles ülesandes palume teil täiendada koodi, mida oleme väljakutsetes alustanud. Ülesanne koosneb kahest osast:

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# Töötamine andmetega: Andmete ettevalmistamine # Töötamine andmetega: Andmete ettevalmistamine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)|

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# Vormilt andmete hindamine # Vormilt andmete hindamine
Klient on testinud [väikest vormi](../../../../2-Working-With-Data/08-data-preparation/index.html), et koguda oma kliendibaasi kohta põhiandmeid. Nad on toonud oma tulemused teie juurde, et valideerida kogutud andmeid. Saate avada `index.html` lehe brauseris, et vormi vaadata. Klient on testinud [väikest vormi](../../../../2-Working-With-Data/08-data-preparation/index.html), et koguda oma kliendibaasi kohta põhiandmeid. Nad on toonud oma tulemused teie juurde, et valideerida kogutud andmeid. Saate avada `index.html` lehe brauseris, et vormi vaadata.

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# Andmetega töötamine # Andmetega töötamine
![andmete armastus](../../../translated_images/et/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg) ![andmete armastus](../../../translated_images/et/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg)

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# Koguste visualiseerimine # Koguste visualiseerimine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)|

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# Jooned, hajusdiagrammid ja tulpdiagrammid # Jooned, hajusdiagrammid ja tulpdiagrammid
## Juhised ## Juhised

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# Jaotuste visualiseerimine # Jaotuste visualiseerimine
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)|

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# Rakenda oma oskusi # Rakenda oma oskusi
## Juhised ## Juhised

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# Proportsioonide visualiseerimine # Proportsioonide visualiseerimine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)|

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# Proovi Excelis # Proovi Excelis
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# Suhete visualiseerimine: Kõik mee kohta 🍯 # Suhete visualiseerimine: Kõik mee kohta 🍯
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)|

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# Sukeldumine mesitarusse # Sukeldumine mesitarusse
## Juhised ## Juhised

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# Tähendusrikaste visualisatsioonide loomine # Tähendusrikaste visualisatsioonide loomine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)|

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# Loo oma kohandatud visualisatsioon # Loo oma kohandatud visualisatsioon
## Juhised ## Juhised

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# Ohtlike suhete andmete visualiseerimise projekt # Ohtlike suhete andmete visualiseerimise projekt
Alustamiseks veendu, et NPM ja Node töötavad sinu arvutis. Paigalda sõltuvused (npm install) ja käivita projekt kohalikult (npm run serve): Alustamiseks veendu, et NPM ja Node töötavad sinu arvutis. Paigalda sõltuvused (npm install) ja käivita projekt kohalikult (npm run serve):

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# Ohtlike suhete andmete visualiseerimise projekt # Ohtlike suhete andmete visualiseerimise projekt
Alustamiseks veendu, et NPM ja Node töötavad sinu arvutis. Paigalda sõltuvused (npm install) ja käivita projekt kohalikult (npm run serve): Alustamiseks veendu, et NPM ja Node töötavad sinu arvutis. Paigalda sõltuvused (npm install) ja käivita projekt kohalikult (npm run serve):

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# Koguste visualiseerimine # Koguste visualiseerimine
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/09-Visualizing-Quantities.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/09-Visualizing-Quantities.png)|
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# Jooned, hajusdiagrammid ja tulpdiagrammid # Jooned, hajusdiagrammid ja tulpdiagrammid
## Juhised ## Juhised

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# Andmete jaotuse visualiseerimine # Andmete jaotuse visualiseerimine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/10-Visualizing-Distributions.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/10-Visualizing-Distributions.png)|

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# Rakenda oma oskusi # Rakenda oma oskusi
## Juhised ## Juhised

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# Proportsioonide visualiseerimine # Proportsioonide visualiseerimine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/11-Visualizing-Proportions.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/11-Visualizing-Proportions.png)|

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# Suhete visualiseerimine: Kõik mesist 🍯 # Suhete visualiseerimine: Kõik mesist 🍯
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/12-Visualizing-Relationships.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/12-Visualizing-Relationships.png)|

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# Tähendusrikaste visualisatsioonide loomine # Tähendusrikaste visualisatsioonide loomine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/13-MeaningfulViz.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/13-MeaningfulViz.png)|

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# Visualisatsioonid # Visualisatsioonid
![mesilane lavendlil](../../../translated_images/et/bee.0aa1d91132b12e3a8994b9ca12816d05ce1642010d9b8be37f8d37365ba845cf.jpg) ![mesilane lavendlil](../../../translated_images/et/bee.0aa1d91132b12e3a8994b9ca12816d05ce1642010d9b8be37f8d37365ba845cf.jpg)

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# Sissejuhatus andmeteaduse elutsüklisse # Sissejuhatus andmeteaduse elutsüklisse
|![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/14-DataScience-Lifecycle.png)| |![ Sketchnote autorilt [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/14-DataScience-Lifecycle.png)|

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# Andmehulga hindamine # Andmehulga hindamine
Klient on pöördunud teie meeskonna poole, et uurida taksoklientide hooajalisi kulutamisharjumusi New Yorgis. Klient on pöördunud teie meeskonna poole, et uurida taksoklientide hooajalisi kulutamisharjumusi New Yorgis.

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# Andmeteaduse elutsükkel: Analüüsimine # Andmeteaduse elutsükkel: Analüüsimine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/15-Analyzing.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/15-Analyzing.png)|

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# Vastuste otsimine # Vastuste otsimine
See on jätk eelmise tunni [ülesandele](../14-Introduction/assignment.md), kus vaatasime andmekogumit põgusalt. Nüüd uurime andmeid põhjalikumalt. See on jätk eelmise tunni [ülesandele](../14-Introduction/assignment.md), kus vaatasime andmekogumit põgusalt. Nüüd uurime andmeid põhjalikumalt.

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# Andmeteaduse elutsükkel: Kommunikatsioon # Andmeteaduse elutsükkel: Kommunikatsioon
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev)](../../sketchnotes/16-Communicating.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev)](../../sketchnotes/16-Communicating.png)|

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# Räägi lugu # Räägi lugu
## Juhised ## Juhised

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# Andmeteaduse elutsükkel # Andmeteaduse elutsükkel
![kommunikatsioon](../../../translated_images/et/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.jpg) ![kommunikatsioon](../../../translated_images/et/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.jpg)

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# Sissejuhatus andmeteadusesse pilves # Sissejuhatus andmeteadusesse pilves
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)|

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# Turu-uuring # Turu-uuring
## Juhised ## Juhised

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# Andmeteadus pilves: "Vähe koodi/Ilma koodita" lähenemine # Andmeteadus pilves: "Vähe koodi/Ilma koodita" lähenemine
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/18-DataScience-Cloud.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/18-DataScience-Cloud.png)|

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# Madala koodi/Ilma koodita andmeteaduse projekt Azure ML-is # Madala koodi/Ilma koodita andmeteaduse projekt Azure ML-is
## Juhised ## Juhised

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# Andmeteadus pilves: "Azure ML SDK" meetod # Andmeteadus pilves: "Azure ML SDK" meetod
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/19-DataScience-Cloud.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/19-DataScience-Cloud.png)|

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# Andmeteaduse projekt Azure ML SDK-ga # Andmeteaduse projekt Azure ML SDK-ga
## Juhised ## Juhised

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# Andmeteadus pilves # Andmeteadus pilves
![cloud-picture](../../../translated_images/et/cloud-picture.f5526de3c6c6387b2d656ba94f019b3352e5e3854a78440e4fb00c93e2dea675.jpg) ![cloud-picture](../../../translated_images/et/cloud-picture.f5526de3c6c6387b2d656ba94f019b3352e5e3854a78440e4fb00c93e2dea675.jpg)

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# Andmeteadus päriselus # Andmeteadus päriselus
| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png) | | ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png) |

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# Uuri Planetary Computer andmehulka # Uuri Planetary Computer andmehulka
## Juhised ## Juhised

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# Andmeteadus päriselus # Andmeteadus päriselus
Andmeteaduse rakendused erinevates tööstusharudes. Andmeteaduse rakendused erinevates tööstusharudes.

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# AGENTS.md # AGENTS.md
## Projekti Ülevaade ## Projekti Ülevaade

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# Microsofti avatud lähtekoodi käitumisjuhend # Microsofti avatud lähtekoodi käitumisjuhend
See projekt on omaks võtnud [Microsofti avatud lähtekoodi käitumisjuhendi](https://opensource.microsoft.com/codeofconduct/). See projekt on omaks võtnud [Microsofti avatud lähtekoodi käitumisjuhendi](https://opensource.microsoft.com/codeofconduct/).

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# Panustamine algajate andmeteaduse projekti # Panustamine algajate andmeteaduse projekti
Täname, et olete huvitatud panustamisest algajate andmeteaduse õppekavasse! Me tervitame kogukonna panuseid. Täname, et olete huvitatud panustamisest algajate andmeteaduse õppekavasse! Me tervitame kogukonna panuseid.

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# Paigaldusjuhend # Paigaldusjuhend
See juhend aitab teil seadistada oma keskkonda, et töötada algajatele mõeldud andmeteaduse õppekavaga. See juhend aitab teil seadistada oma keskkonda, et töötada algajatele mõeldud andmeteaduse õppekavaga.

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# Andmeteadus algajatele – õppekava
[![Ava GitHub Codespacesis](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198) [![Ava GitHub Codespacesis](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198)
[![GitHub litsents](https://img.shields.io/github/license/microsoft/Data-Science-For-Beginners.svg)](https://github.com/microsoft/Data-Science-For-Beginners/blob/master/LICENSE) [![GitHub litsents](https://img.shields.io/github/license/microsoft/Data-Science-For-Beginners.svg)](https://github.com/microsoft/Data-Science-For-Beginners/blob/master/LICENSE)
[![GitHub kaasautorid](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/) [![GitHub panustajad](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/)
[![GitHub probleemid](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/) [![GitHub probleemid](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/)
[![GitHub tõmbepäringud](https://img.shields.io/github/issues-pr/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/pulls/) [![GitHub tõmbepäringud](https://img.shields.io/github/issues-pr/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/pulls/)
[![Tõmbepäringud on teretulnud](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) [![Tõmbepäringud on teretulnud](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
[![GitHub jälgijad](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 jälgijad](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 forksid](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 hargnemised](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 tähed](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/) [![GitHub tähed](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 Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
[![Microsoft Foundry arendajate foorum](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 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)
Microsofti Azure pilveesindajad pakuvad 10-nädalast, 20-õpetusega õppekava, mis on pühendatud andmeteadusele. Iga õppetund sisaldab eel- ja järeltunni viktoriine, kirjeldatud juhiseid õppetunni sooritamiseks, lahenduse ning ülesande. Meie projektipõhine õpetamismeetod võimaldab õppida koos ehitamisega, mis on tõestatud viis uute oskuste kinnistamiseks. Microsofti Azure pilvmeeskond on rõõmus pakkuda 10-nädalast, 20-õppetunniga õppekava, mis käsitleb andmeteadust. Iga õppetund sisaldab eeltundi ja järeltundi katseid, kirjalikke juhiseid õppetunni lõpetamiseks, lahendust ja ülesannet. Meie projektipõhine pedagoogika võimaldab õppida ehitades, mis on tõestatud viis uute oskuste kinnistamiseks.
**Südamlikud tänud meie autoritele:** [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). **Sügav tänu meie autoritele:** [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).
**🙏 Erilised tänud 🙏 meie [Microsofti tudengisaadikute](https://studentambassadors.microsoft.com/) autoritele, ülevaatajate ja sisuloojatele,** eelkõige 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), **🙏 Eriline tänu 🙏 meie [Microsofti üliõpilasambassadöridele](https://studentambassadors.microsoft.com/) autoritele, retsensentidele ja sisuloojatele,** oluliselt 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/) [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 autor @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/et/00-Title.8af36cd35da1ac55.webp)| |![Sketchnote autor @sketchthedocs https://sketchthedocs.dev](../../translated_images/et/00-Title.8af36cd35da1ac55.webp)|
|:---:| |:---:|
| Andmeteadus algajatele – _sketchnote autorilt [@nitya](https://twitter.com/nitya)_ | | Andmeteadus algajatele - _Sketchnote autorilt [@nitya](https://twitter.com/nitya)_ |
### 🌐 Mitmekeelsuse tugi ### 🌐 Mitmekeelsuse tugi
#### Töötletud GitHub Action abil (automatiseeritud ja alati ajakohane) #### Toetatud GitHub Action abil (automatiseeritud ja alati ajakohane)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START --> <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[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](./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](../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](./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](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
> **Eelistate kloonida lokaalselt?** > **Eelistad kloonida kohalikult?**
> See hoidla sisaldab 50+ keele tõlkeid, mis suurendavad oluliselt allalaaditavat suurust. Tõlgeteta kloonimiseks kasutage erilist sparse checkout’i: > See hoidla sisaldab üle 50 keele tõlked, mis suurendavad märkimisväärselt allalaadimise suurust. Tõlgeteta kloonimiseks kasuta hõredat checkouti:
> ```bash > ```bash
> git clone --filter=blob:none --sparse https://github.com/microsoft/Data-Science-For-Beginners.git > git clone --filter=blob:none --sparse https://github.com/microsoft/Data-Science-For-Beginners.git
> cd Data-Science-For-Beginners > cd Data-Science-For-Beginners
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
> ``` > ```
> See annab teile kõik vajaliku kursuse lõpetamiseks palju kiirema allalaadimisega. > Saad kõike vajalikku kursuse läbimiseks palju kiiremalt.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END --> <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Kui soovite, et lisaks oleks toetatud rohkem tõlkekeeli, on need loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** **Kui soovid, et toetataks täiendavaid tõlkekeeli, siis need on loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
#### Liitu meie kogukonnaga #### Liitu meie kogukonnaga
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Meil on käimas Discordi õppesari „Õpi koos AI-ga“, lisateabe ja osalemise leiate aadressilt [Õpi koos AI-ga sari](https://aka.ms/learnwithai/discord) ajavahemikul 18.–30. september 2025. Saate näpunäiteid ja nippe GitHub Copiloti kasutamiseks andmeteaduses. Meil on käimas Discordi õppesari AI-ga, rohkem infot ja liitumiseks külasta [Õpi AI-ga sarja](https://aka.ms/learnwithai/discord) 18.-30. septembril 2025. Saad näpunäiteid ja nippe GitHub Copiloti kasutamiseks andmeteaduses.
![Õpi koos AI-ga sari](../../../../translated_images/et/1.2b28cdc6205e26fe.webp) ![Õpi AI-ga sari](../../translated_images/et/1.2b28cdc6205e26fe.webp)
# Kas oled tudeng? # Oled tudeng?
Alusta järgmiste ressurssidega: Alusta järgmiste ressurssidega:
- [Tudengite keskus](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Sellel lehel leiad algajatele mõeldud ressursid, tudengipakid ja isegi võimalusi saada tasuta sertifikaadi sooduskupong. See on leht, mida soovid järjehoidjates hoida ja aeg-ajalt kontrollida, sest sisu uuendatakse vähemalt kord kuus. - [Tudengikeskuse leht](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Sellel lehel leiad algajatele mõeldud ressursid, tudengipakid ja isegi võimalusi saada tasuta sertifikaadi kupong. See on leht, mida soovid järjehoidjatesse lisada ja aeg-ajalt vaadata, kuna sisu vahetub vähemalt kord kuus.
- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Liitu ülemaailmse tudengisaadikute kogukonnaga, mis võib olla sinu võimalus Microsofti minna. - [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Liitu tudengite ülemaailmse kogukonnaga, see võib olla sinu tee Microsofti.
# Alustamine # Alustamine
## 📚 Dokumentatsioon ## 📚 Dokumentatsioon
- **[Paigaldusjuhend](INSTALLATION.md)** – samm-sammult juhised algajatele - **[Paigaldusjuhend](INSTALLATION.md)** - samm-sammuline juhend algajatele
- **[Kasutusjuhend](USAGE.md)** – näited ja tavalised töövood - **[Kasutusjuhend](USAGE.md)** - näited ja levinumad töövood
- **[Probleemide lahendamine](TROUBLESHOOTING.md)** – lahendused levinud probleemidele - **[Probleemide lahendamine](TROUBLESHOOTING.md)** - lahendused sagedastele probleemidele
- **[Panustamisjuhend](CONTRIBUTING.md)** – kuidas sellesse projekti panustada - **[Panustamise juhend](CONTRIBUTING.md)** - kuidas sellesse projekti panustada
- **[Õpetajatele](for-teachers.md)** – juhised ja klassiruumi ressursid - **[Õpetajatele](for-teachers.md)** - õpetamisjuhised ja klassiruumi ressursid
## 👨‍🎓 Tudengitele ## 👨‍🎓 Tudengitele
> **Täielikud algajad:** Uus andmeteaduses? Alusta meie [algajasõbralike näidiste](examples/README.md) juurest! Need lihtsad ja hästi kommenteeritud näited aitavad mõista põhialuseid enne kogu õppekavaga süvenemist. > **Täielikud algajad**: Uus andmeteaduses? Alusta meie [algajatele sobivatest näidetest](examples/README.md)! Need lihtsad ja hästi kommenteeritud näited aitavad sul mõista põhitõdesid enne kogu õppekavasse süvenemist.
> **[Tudengid](https://aka.ms/student-page):** selle õppekava iseseisvaks kasutamiseks tee fork kogu hoidlast ja soorita harjutused iseseisvalt, alustades eel-loengu viktoriiniga. Seejärel loe loeng läbi ja täida ülejäänud tegevused. Püüa projekte luua, mõistes õppetunde, mitte kopeerides lahendustekoodi; see kood on siiski saadaval iga projektipõhise õppetunni /solutions kaustas. Teine idee oleks sõpradega õpirühm moodustada ja sisu koos läbi käia. Täiendava õppimise jaoks soovitame [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum). > **[Tudengid](https://aka.ms/student-page)**: et kasutada seda õppekava iseseisvalt, tehtle kogu hoidla omale koopiaks (fork) ja lahenda harjutused iseseisvalt, alustades eeloengu testiga. Seejärel loe loeng ja lõpeta ülejäänud tegevused. Proovi projekte luua, mõistes õppetunde, mitte lihtsalt lahenduste koodi kopeerides; lahenduskood on kättesaadav iga projektipõhise õppetunni /solutions kaustas. Teine idee on moodustada sõpradega õpperühm ja minna sisu läbi koos. Süvendatud õpingute jaoks soovitame [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum).
**Kiire algus:** **Kiire algus:**
1. Vaata [Paigaldusjuhendit](INSTALLATION.md) oma keskkonna seadistamiseks 1. Tutvu [paigaldusjuhendiga](INSTALLATION.md), et seada üles oma keskkond
2. Tutvu [Kasutusjuhendiga](USAGE.md), et õppida õppekavaga töötamist 2. Vaata [kasutusjuhendit](USAGE.md), et õppida curriculumiga töötamist
3. Alusta 1. õppest ja tööta järjest edasi 3. Alusta 1. õppetunnist ja liigu järjestikku edasi
4. Liitu meie [Discord-kogukonnaga](https://aka.ms/ds4beginners/discord) toe saamiseks 4. Liitu meie [Discordi kogukonnaga](https://aka.ms/ds4beginners/discord), et saada tuge
## 👩‍🏫 Õpetajatele ## 👩‍🏫 Õpetajatele
> **Õpetajad:** oleme lisanud [mõned soovitused](for-teachers.md) selle õppekava kasutamiseks. Ootame teie tagasisidet [meie arutelufoorumis](https://github.com/microsoft/Data-Science-For-Beginners/discussions)! > **Õpetajad**: oleme lisanud [mõningad soovitused](for-teachers.md) selle õppekava kasutamiseks. Ootame hea meelega teie tagasisidet [meie arutelufoorumis](https://github.com/microsoft/Data-Science-For-Beginners/discussions)!
## Kohtuge meeskonnaga
## Tutvu meeskonnaga [![Promo video](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Promo video")
[![Reklaamvideo](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Reklaamvideo")
**Gif autor** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal) **Gif autor** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal)
> 🎥 Klõpsake ülaloleval pildil, et vaadata videot projektist ja inimestest, kes selle lõid! > 🎥 Klõpsake ülalolevat pilti, et vaadata video projekti ja selle looja(te) kohta!
## Pedagoogika ## Pedagoogika
Selle õppekava koostamisel oleme valinud kaks pedagoogilist põhimõtet: tagada, et see põhineks projektidel, ja et see sisaldaks sagedasi viktoriine. Selle sarja lõpuks on õpilased õppinud andmeteaduse põhialuseid, sealhulgas eetilisi mõisteid, andmete ettevalmistamist, erinevaid andmetöötlusviise, andmete visualiseerimist, andmeanalüüsi, andmeteaduse praktilisi kasutusjuhte ja palju muud. Olemasoleva õppekava koostamisel oleme valinud kaks pedagoogilist põhimõtet: tagame, et see oleks projektipõhine ja sisaldaks sagedasi viktoriine. Selle sarja lõpuks on õpilased omandanud andmeteaduse põhilised põhimõtted, sealhulgas eetilised kontseptsioonid, andmete ettevalmistamine, erinevad viisid andmetega töötamiseks, andmete visualiseerimine, andmete analüüs, andmeteaduse praktilised kasutusjuhud ja palju muud.
Lisaks seab madala panusega viktoriin enne tundi õppija eesmärgi antud teemat õppida, samas kui teine viktoriin pärast tundi aitab teadmisi kinnistada. See õppekava on loodud olema paindlik ja lõbus ning seda saab läbida tervikuna või osaliselt. Projektid algavad väikesest ja muutuvad 10-nädalase tsükli lõpuks järjest keerukamaks. Lisaks seab enne tundi toimuv madala panusega viktoriin õppija kavatsuseks teema õppimise, samas kui teine viktoriin pärast tundi tagab parema säilitamise. See õppekava on loodud olema paindlik ja lõbus ning seda saab võtta kas tervikuna või osaliselt. Projektid algavad väikestena ja muutuvad 10-nädalase tsükli lõpuks järjest keerukamaks.
> Leiate meie [käitumisjuhendi](CODE_OF_CONDUCT.md), [panustamise](CONTRIBUTING.md), [tõlke](TRANSLATIONS.md) juhendid. Hindame teie konstruktiivset tagasisidet! > Leia meie [käitumisjuhend](CODE_OF_CONDUCT.md), [panustamise](CONTRIBUTING.md), [tõlke](TRANSLATIONS.md) juhised. Ootame teie konstruktiivset tagasisidet!
## Igas õppetükis on: ## Iga õppetund sisaldab:
- Valikuline sketšinotis - Valikulist sketšimärkust
- Valikuline lisavideo - Valikulist lisavideot
- Soojenduseks viktoriin enne tundi - Pre-tunniviktoriini soojenduseks
- Kirjalik õppetükk - Kirjalikku õppetundi
- Projektipõhiste õppetükkide puhul samm-sammult juhised projekti ehitamiseks - Projektipõhiste õppetundide puhul samm-sammult juhiseid, kuidas projekti üles ehitada
- Teadmiste kontroll - Teadmiste kontrolli
- Väljakutse - Väljakutset
- Lisalugemine - Lisalugemist
- Kodune ülesanne - Kodutööd
- [Viktoriin pärast tundi](https://ff-quizzes.netlify.app/en/) - [Pärastundi viktoriini](https://ff-quizzes.netlify.app/en/)
> **Märkused viktoriinide kohta**: Kõik viktoriinid on koondatud kausta Quiz-App, kokku 40 viktoriini, kus igas on kolm küsimust. Neid lingitakse õppetükkide sees, kuid viktoriini rakendus saab käivitada lokaalselt või paigaldada Azure'i; järgige juhiseid `quiz-app` kaustas. Need on järk-järgult lokaliseeritavad. > **Märkus viktoriinide kohta**: Kõik viktoriinid on koondatud Quiz-App kausta, kokku 40 viktoriini, milles igas on kolm küsimust. Neile viidatakse õppetundide sees, kuid viktoriinirakendust saab käivitada lokaalselt või Azure’is; täpsemad juhised asuvad `quiz-app` kaustas. Viktoriinid tõlgitakse järk-järgult.
## 🎓 Algajatele sõbralikud näited ## 🎓 Algajasõbralikud näited
**Uus andmeteaduses?** Oleme loonud spetsiaalse [näidiste kataloogi](examples/README.md) lihtsa ja hästi kommenteeritud koodiga, mis aitab teil alustada: **Oled andmeteadusega uus?** Oleme loonud spetsiaalse [näidiste kataloogi](examples/README.md), kus on lihtne ja hästi kommenteeritud kood, mis aitab sul alustada:
- 🌟 **Tere, maailm!** - Teie esimene andmeteaduse programm - 🌟 **Hello World** - Sinu esimene andmeteaduse programm
- 📂 **Andmete laadimine** - Õppige andmestike lugemist ja uurimist - 📂 **Andmete laadimine** - Õpi andmekogumeid lugema ja uurima
- 📊 **Lihtne analüüs** - Arvutage statistikat ja leidke mustreid - 📊 **Lihtne analüüs** - Arvuta statistikat ja leia mustreid
- 📈 **Põhiline visualiseerimine** - Looge diagramme ja graafikuid - 📈 **Põhivisualiseerimine** - Loo diagramme ja graafikuid
- 🔬 **Reaalne projekt** - Täielik töövoog algusest lõpuni - 🔬 **Tegelik projekt** - Täielik töökäik algusest lõpuni
Igas näites on üksikasjalikud kommentaarid, mis selgitavad iga sammu, muudavad selle algajatele ideaalseks! Igas näites on üksikasjalikud kommentaarid, mis selgitavad igat sammu, muutes selle ideaalseks täiesti algajatele!
👉 **[Alustage näidetega](examples/README.md)** 👈 👉 **[Alusta näidetest](examples/README.md)** 👈
## Õppetükid ## Õppetunnid
|![ Sketchnote autor @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/et/00-Roadmap.4905d6567dff4753.webp)| |![ Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../translated_images/et/00-Roadmap.4905d6567dff4753.webp)|
|:---:| |:---:|
| Andmeteadus algajatele: teekaart - _sketš autorilt [@nitya](https://twitter.com/nitya)_ | | Andmeteadus algajatele: teekaart - _Sketš @nitya_ |
| Õppetüki number | Teema | Õppetüki grupp | Õpieesmärgid | Lingitud õppetükk | Autor | | Õppetunni number | Teema | Õppetunni gruppeerimine | Õpitulemused | Lingitud õppetund | Autor |
| :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: | | :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: |
| 01 | Andmeteaduse määratlemine | [Sissejuhatus](1-Introduction/README.md) | Õppige andmeteaduse põhikontseptsioone ja kuidas see on seotud tehisintellekti, masinõppe ja suurandmetega. | [õppetükk](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) | | 01 | Andmeteaduse määratlemine | [Sissejuhatus](1-Introduction/README.md) | Õpi andmeteaduse põhimõisteid ja kuidas see on seotud tehisintellekti, masinõppe ja suurandmetega. | [õppetund](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) |
| 02 | Andmeteaduse eetika | [Sissejuhatus](1-Introduction/README.md) | Andmete eetika kontseptsioonid, väljakutsed ja raamistikud. | [õppetükk](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) | | 02 | Andmeteaduse eetika | [Sissejuhatus](1-Introduction/README.md) | Andme-eetika kontseptsioonid, väljakutsed ja raamistikud. | [õppetund](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) |
| 03 | Andmete määratlemine | [Sissejuhatus](1-Introduction/README.md) | Kuidas andmeid klassifitseeritakse ja selle tavalised allikad. | [õppetükk](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) | | 03 | Andmete määratlemine | [Sissejuhatus](1-Introduction/README.md) | Kuidas andmeid klassifitseeritakse ja nende levinud allikad. | [õppetund](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 04 | Sissejuhatus statistikasse ja tõenäosusõpetusse | [Sissejuhatus](1-Introduction/README.md) | Matemaatilised tõenäosuse ja statistika tehnikad andmete mõistmiseks. | [õppetükk](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) | | 04 | Sissejuhatus statistikasse ja tõenäosusse | [Sissejuhatus](1-Introduction/README.md) | Matemaatilised tõenäosuse ja statistika tehnikad andmete mõistmiseks. | [õppetund](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) |
| 05 | Töötamine relatsiooniliste andmetega | [Töötamine andmetega](2-Working-With-Data/README.md) | Sissejuhatus relatsioonilistesse andmetesse ja relatsiooniliste andmete uurimise ja analüüsi alused Structured Query Language’i ehk SQL-i (hääldatakse „si-kwell“) abil. | [õppetükk](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | | | 05 | Töötamine relatsioonandmetega | [Töötamine andmetega](2-Working-With-Data/README.md) | Sissejuhatus relatsioonandmetesse ja andmete uurimise ning analüüsimise põhialused struktureeritud päringukeeles (SQL). | [õppetund](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | |
| 06 | Töötamine NoSQL andmetega | [Töötamine andmetega](2-Working-With-Data/README.md) | Sissejuhatus mitte-relatsioonilistesse andmetesse, selle erinevatesse tüüpidesse ja dokumentandmebaaside uurimise ja analüüsi alused. | [õppetükk](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)| | 06 | Töötamine NoSQL andmetega | [Töötamine andmetega](2-Working-With-Data/README.md) | Sissejuhatus mitte-relatsioonandmetesse, nende erinevate tüüpide ja dokumentandmebaaside uurimise ning analüüsi põhialused. | [õppetund](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)|
| 07 | Töötamine Pythoniga | [Töötamine andmetega](2-Working-With-Data/README.md) | Andmete uurimiseks Pythoni kasutamise alused koos selliste teekidega nagu Pandas. Soovitatav on Pythoni programmeerimise põhiline mõistmine. | [õppetükk](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) | | 07 | Töötamine Pythoniga | [Töötamine andmetega](2-Working-With-Data/README.md) | Python kasutamise põhialused andmete uurimiseks selliste teekidega nagu Pandas. Soovitatav on Python programmeerimise aluste mõistmine. | [õppetund](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) |
| 08 | Andmete ettevalmistamine | [Töötamine andmetega](2-Working-With-Data/README.md) | Teemad andmete puhastamise ja teisendamise tehnikatest, mis võimaldavad toime tulla puuduvate, ebatäpsete või puudulike andmetega seotud väljakutsetega. | [õppetükk](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) | | 08 | Andmete ettevalmistamine | [Töötamine andmetega](2-Working-With-Data/README.md) | Andmetehnikad andmete puhastamiseks ja transformeerimiseks, et toime tulla puuduvate, ebatäpsete või puudulike andmetega. | [õppetund](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 09 | Kvantiteetide visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Õppige kasutama Matplotlibi lindude andmete visualiseerimiseks 🦆 | [õppetükk](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) | | 09 | Koguste visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Õpi kasutama Matplotlibi lindude andmete visualiseerimiseks 🦆 | [õppetund](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) |
| 10 | Andmete jaotuste visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Visuaalne vaatlus ja trendide kuvamine vahemikus. | [õppetükk](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) | | 10 | Andmete jaotuste visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Visuaalselt kujutame tähelepanekuid ja trende kindlas intervallis. | [õppetund](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 11 | Proportsioonide visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Diskreetsete ja rühmitatud protsentide visualiseerimine. | [õppetükk](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) | | 11 | Proportsioonide visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Diskreetsete ja grupeeritud protsentide visualiseerimine. | [õppetund](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 12 | Suhete visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Andmekogumite ja nende muutujate vaheliste seoste ja korrelatsioonide visualiseerimine. | [õppetükk](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) | | 12 | Suhete visualiseerimine | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Andmekogumite ja nende muutujate vaheliste seoste ja korrelatsioonide kujutamine. | [õppetund](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) |
| 13 | Mõtestatud visualiseeringud | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Tehnikad ja juhised, kuidas teha oma visualiseeringuid väärtuslikeks tõhusaks probleemilahenduseks ja teadmiste saamiseks. | [õppetükk](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) | | 13 | Mõtestatud visualiseeringud | [Andmete visualiseerimine](3-Data-Visualization/README.md) | Tehnikad ja juhised, mis aitavad teha visualiseeringud väärtuslikeks tõhusaks probleemilahenduseks ja teadmisteks. | [õppetund](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) |
| 14 | Sissejuhatus andmeteaduse elutsüklisse | [Elutsükkel](4-Data-Science-Lifecycle/README.md) | Sissejuhatus andmeteaduse elutsüklisse ja selle esimene samm andmete hankimisse ja ekstraktsiooni. | [õppetükk](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) | | 14 | Sissejuhatus andmeteaduse elutsüklisse | [Elutsükkel](4-Data-Science-Lifecycle/README.md) | Sissejuhatus andmeteaduse elutsüklisse ja selle esimene samm: andmete hankimine ja väljavõtmine. | [õppetund](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) |
| 15 | Analüüs | [Elutsükkel](4-Data-Science-Lifecycle/README.md) | See etapp andmeteaduse elutsüklis keskendub andmete analüüsimise tehnikatele. | [õppetükk](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | | | 15 | Analüüsimine | [Elutsükkel](4-Data-Science-Lifecycle/README.md) | See faas andmeteaduse elutsüklis keskendub andmete analüüsimise tehnikatele. | [õppetund](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | |
| 16 | Kommunikatsioon | [Elutsükkel](4-Data-Science-Lifecycle/README.md) | See etapp andmeteaduse elutsüklis keskendub teadmiste esitamisele andmetest viisil, mis muudab otsustajatel nende mõistmise lihtsamaks. | [õppetükk](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | | | 16 | Kommunikatsioon | [Elutsükkel](4-Data-Science-Lifecycle/README.md) | See faas andmeteaduse elutsüklis keskendub teadmiste esitamisele selliselt, et see oleks otsustajatele arusaadav. | [õppetund](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | |
| 17 | Andmeteadus pilves | [Pilveandmed](5-Data-Science-In-Cloud/README.md) | See õppesari tutvustab andmeteadust pilves ja selle eeliseid. | [õppetükk](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ja [Maud](https://twitter.com/maudstweets) | | 17 | Andmeteadus pilves | [Pilvandmed](5-Data-Science-In-Cloud/README.md) | See õppesari tutvustab andmeteadust pilves ja selle eeliseid. | [õppetund](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ja [Maud](https://twitter.com/maudstweets) |
| 18 | Andmeteadus pilves | [Pilveandmed](5-Data-Science-In-Cloud/README.md) | Mudelite treenimine madala kooditaseme tööriistadega. |[õppetükk](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ja [Maud](https://twitter.com/maudstweets) | | 18 | Andmeteadus pilves | [Pilvandmed](5-Data-Science-In-Cloud/README.md) | Mudelite treenimine madalakoodiliste tööriistade abil. |[õppetund](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) ja [Maud](https://twitter.com/maudstweets) |
| 19 | Andmeteadus pilves | [Pilveandmed](5-Data-Science-In-Cloud/README.md) | Mudelite juurutamine Azure Machine Learning Studio abil. | [õppetükk](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) ja [Maud](https://twitter.com/maudstweets) | | 19 | Andmeteadus pilves | [Pilvandmed](5-Data-Science-In-Cloud/README.md) | Mudelite juurutamine Azure Machine Learning Studio abil. | [õppetund](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) ja [Maud](https://twitter.com/maudstweets) |
| 20 | Andmeteadus vabas looduses | [Looduses](6-Data-Science-In-Wild/README.md) | Andmeteadusel põhinevad projektid pärismaailmas. | [õppetükk](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) | | 20 | Andmeteadus vabamas keskkonnas | [Väljas](6-Data-Science-In-Wild/README.md) | Andmeteadusjuhtumid reaalses maailmas. | [õppetund](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) |
## GitHubi Codespaces ## GitHub Codespaces
Järgige neid samme, et avada see näidis Codespaces’is: Järgige neid samme selle näite avamiseks Codespaces’is:
1. Klõpsake koodi rippmenüüd ja valige valik Ava Codespaces’iga. 1. Klõpsake menüüs Code rippmenüüd ja valige Open with Codespaces.
2. Valige paani allosas + Uus codespace. 2. Paneeli allosas valige + New codespace.
Lisateabe saamiseks vaadake [GitHubi dokumentatsiooni](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace). Lisateabe saamiseks vaadake [GitHubi dokumentatsiooni](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace).
## VSCode Remote - Containerid ## VSCode Remote - Containers
Järgige neid samme, et avada see hoidla konteineris, kasutades oma kohalikku masinat ja VSCode'i koos VS Code Remote - Containers laiendiga: Järgige neid samme selle hoidla avamiseks konteineris, kasutades oma kohalikku arvutit ja VSCode’i ning Remote - Containers laiendust:
1. Kui kasutate arenduskonteinerit esmakordselt, veenduge, et teie süsteem vastab eeltingimustele (näiteks on installitud Docker), vaadates [alustamise dokumentatsiooni](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started). 1. Kui kasutate arenduscontainerit esimest korda, veenduge, et teie süsteem vastab eeltingimustele (nt Docker on paigaldatud) [käivitamise dokumentatsioonis](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started).
Selle hoidla kasutamiseks võite kas avada hoidla isoleeritud Docker’i mahus: Seda hoidlat saab kasutada avades selle hoidla isoleeritud Docker mahu sees:
**Märkus**: Tagaplaanil kasutab see Remote-Containers: **Clone Repository in Container Volume...** käsku lähtekoodi kopeerimiseks Docker’i mahus kohaliku failisüsteemi asemel. [Mahud](https://docs.docker.com/storage/volumes/) on soovitatav mehhanism konteineri andmete säilitamiseks. **Märkus**: Tegelikult kasutatakse Remote-Containers: **Clone Repository in Container Volume...** käsku, mis kloonib lähtekoodi Docker-mahu sisse, mitte kohalikku failisüsteemi. [Mahud](https://docs.docker.com/storage/volumes/) on eelistatud mehhanism konteineri andmete säilitamiseks.
Või avage kohalikult kloonitud või allalaaditud hoidla versioon: Või avades kohalikult kloonitud või alla laetud hoidla:
- Kloonige see hoidla oma kohalikku failisüsteemi. - Kloonige see hoidla oma kohalikku failisüsteemi.
- Vajutage F1 ja valige käsk **Remote-Containers: Open Folder in Container...**. - Vajutage F1 ja valige käsk **Remote-Containers: Open Folder in Container...**.
- Valige selle kausta kloonitud koopiad, oodake konteineri käivitumist ja proovige. - Valige selle kausta kloonitud koopia, oodake konteineri käivitumist ja proovige funktsioone.
## Võrguühenduseta juurdepääs ## Võrgust väljas kasutamine
Seda dokumentatsiooni saate võrguühenduseta käivitada, kasutades [Docsify't](https://docsify.js.org/#/). Hargna see hoidla, [installi Docsify](https://docsify.js.org/#/quickstart) oma kohalikku masinasse, seejärel tippige selle hoidla juurkaustas `docsify serve`. Veebisait käivitatakse pordil 3000 aadressil `localhost:3000`. Seda dokumentatsiooni saab kasutada ka võrgust väljas, kasutades [Docsify](https://docsify.js.org/#/). Forkige see hoidla, paigaldage oma kohalikku masinasse [Docsify](https://docsify.js.org/#/quickstart), seejärel hoidla root-kataloogis tippige `docsify serve`. Veebileht saadetakse pordi 3000 kaudu aadressil `localhost:3000`.
> Märkus, märkmeid (notebook-e) ei renderdata Docsify abil, nii et kui peate märkmikku kasutama, käitage see eraldi VS Code'is koos Python’i kerneliga. > Märkus: märkmikud ei renderdata Docsify abil, seega kui peate käivitama märkmiku, tehke seda eraldi VS Code’is Python kerneliga.
## Muud õppekavad ## Muud õppekavad
Meie meeskond toodab ka teisi õppekavu! Vaadake: Meie meeskond toodab ka teisi õppekavasid! Vaadake:
<!-- CO-OP TRANSLATOR OTHER COURSES START --> <!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain ### LangChain
[![LangChain4j algajatele](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 algajatele](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) [![LangChain.js algajatele](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 / Agendid ### Azure / Edge / MCP / Agendid
[![AZD algajatele](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) [![AZD algajatele](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 algajatele](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) [![Edge tehisintellekt algajatele](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 algajatele](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) [![MCP algajatele](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)
[![AI Agendid algajatele](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) [![Tehisintellekti agendid algajatele](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)
--- ---
@ -225,8 +216,8 @@ Meie meeskond toodab ka teisi õppekavu! Vaadake:
--- ---
### Põhialused ### Põhiteadmised
[![ML algajatele](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) [![Masinõpe algajatele](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)
[![Andmeteadus algajatele](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) [![Andmeteadus algajatele](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)
[![Tehisintellekt algajatele](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) [![Tehisintellekt algajatele](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)
[![Küberjulgeolek algajatele](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) [![Küberjulgeolek algajatele](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)
@ -239,24 +230,24 @@ Meie meeskond toodab ka teisi õppekavu! Vaadake:
### Copiloti sari ### Copiloti sari
[![Copilot tehisintellekti paarisprogrammeerimiseks](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 tehisintellekti paarisprogrammeerimiseks](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 C#/.NET jaoks](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) [![Copilot C#/.NET jaoks](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)
[![Copiloti seiklus](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) [![Copiloti seiklused](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)
<!-- CO-OP TRANSLATOR OTHER COURSES END --> <!-- CO-OP TRANSLATOR OTHER COURSES END -->
## Abi saamine ## Abi saamine
**Tekkinud probleeme?** Vaadake meie [Tõrkeotsingu juhendit](TROUBLESHOOTING.md), kus on lahendused sageimatele probleemidele. **Tekivad probleemid?** Vaadake meie [Tõrkeotsingu juhendit](TROUBLESHOOTING.md) levinud probleemide lahendamiseks.
Kui satute takistustesse või teil on küsimusi tehisintellektirakenduste loomise kohta, liituge koosõppijate ja kogenud arendajatega MCP aruteludes. See on toetav kogukond, kus küsimused on oodatud ja teadmisi jagatakse vabalt. Kui takerdate või teil on küsimusi AI-rakenduste loomise kohta, liituge MCP arutelufoorumis teiste õppijate ja kogenud arendajatega. See on toetav kogukond, kus küsimused on teretulnud ja teadmisi jagatakse vabalt.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Kui teil on toodet puudutavat tagasisidet või vigasid arendamise käigus, külastage: Kui teil on toote kohta tagasisidet või ehitamise ajal vigu, külastage:
[![Microsoft Foundry arendajate foorum](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 Foundry arendajate foorum](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)
--- ---
<!-- CO-OP TRANSLATOR DISCLAIMER START --> <!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Vastutusest loobumine**: **Vastutusest loobumine**:
See dokument on tõlgitud kasutades tehisintellekti tõlketeenust [Co-op Translator](https://github.com/Azure/co-op-translator). Kuigi me püüame täpsust, palun pidage meeles, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument selle emakeeles tuleks pidada autoriteetseks allikaks. Kriitilise teabe korral soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta tõlgendustest või arusaamatustest, mis võivad tekkida selle tõlke kasutamisest. See dokument on tõlgitud kasutades tehisintellektil põhinevat tõlketeenust [Co-op Translator](https://github.com/Azure/co-op-translator). Kuigi püüame tagada täpsust, palun arvestage, et automatiseeritud tõlgetes võib esineda vigu või ebatäpsusi. Originaaldokument selle emakeeles tuleks pidada autoriteetseks allikaks. Kriitilise tähtsusega teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta käesoleva tõlke kasutamisest tekkida võivate arusaamatuste või valesti mõistmiste eest.
<!-- CO-OP TRANSLATOR DISCLAIMER END --> <!-- CO-OP TRANSLATOR DISCLAIMER END -->

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## Turvalisus ## Turvalisus

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# Tugi # Tugi
## Kuidas esitada probleeme ja saada abi ## Kuidas esitada probleeme ja saada abi

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# Tõrkeotsingu juhend # Tõrkeotsingu juhend
See juhend pakub lahendusi levinud probleemidele, millega võite kokku puutuda Data Science for Beginners õppekava kasutamisel. See juhend pakub lahendusi levinud probleemidele, millega võite kokku puutuda Data Science for Beginners õppekava kasutamisel.

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# Kasutusjuhend # Kasutusjuhend
See juhend sisaldab näiteid ja tavapäraseid töövooge algajatele mõeldud andmeteaduse õppekava kasutamiseks. See juhend sisaldab näiteid ja tavapäraseid töövooge algajatele mõeldud andmeteaduse õppekava kasutamiseks.

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- Sissejuhatus - Sissejuhatus
- [Andmeteaduse määratlemine](../1-Introduction/01-defining-data-science/README.md) - [Andmeteaduse määratlemine](../1-Introduction/01-defining-data-science/README.md)
- [Andmeteaduse eetika](../1-Introduction/02-ethics/README.md) - [Andmeteaduse eetika](../1-Introduction/02-ethics/README.md)

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# Algajatele sobivad andmeteaduse näited # Algajatele sobivad andmeteaduse näited
Tere tulemast näidete kataloogi! See lihtsate ja hästi kommenteeritud näidete kogumik on loodud selleks, et aidata sul alustada andmeteadusega, isegi kui oled täiesti algaja. Tere tulemast näidete kataloogi! See lihtsate ja hästi kommenteeritud näidete kogumik on loodud selleks, et aidata sul alustada andmeteadusega, isegi kui oled täiesti algaja.

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## Haridustöötajatele ## Haridustöötajatele
Kas soovite seda õppekava oma klassiruumis kasutada? Palun tehke seda julgelt! Kas soovite seda õppekava oma klassiruumis kasutada? Palun tehke seda julgelt!

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# Viktoriinid # Viktoriinid
Need viktoriinid on andmeteaduse õppekava eel- ja järelloengute viktoriinid aadressil https://aka.ms/datascience-beginners Need viktoriinid on andmeteaduse õppekava eel- ja järelloengute viktoriinid aadressil https://aka.ms/datascience-beginners

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Leia kõik visandmärkmed siit! Leia kõik visandmärkmed siit!
## Tunnustused ## Tunnustused

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# Wetin Be Data Science # Wetin Be Data Science
| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) | | ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) |

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# Assignment: Data Science Scenarios # Assignment: Data Science Scenarios
For dis first assignment, we wan make you think about some real-life process or wahala for different problem areas, and how you fit take improve am using Data Science process. Think about dis things: For dis first assignment, we wan make you think about some real-life process or wahala for different problem areas, and how you fit take improve am using Data Science process. Think about dis things:

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# Assignment: Data Science Scenarios # Assignment: Data Science Scenarios
For dis first assignment, we wan make you think about some real-life process or problem for different problem area, and how you fit take Data Science process improve am. Think about dis: For dis first assignment, we wan make you think about some real-life process or problem for different problem area, and how you fit take Data Science process improve am. Think about dis:

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# Introduction to Data Ethics # Introduction to Data Ethics
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## Write Data Ethics Case Study ## Write Data Ethics Case Study
## Instructions ## Instructions

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# Defining Data # Defining Data
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/03-DefiningData.png)|

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# Classify Datasets # Classify Datasets
## Instructions ## Instructions

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# Small Introduction to Statistics and Probability # Small Introduction to Statistics and Probability
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)|

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# Small Diabetes Study # Small Diabetes Study
For dis assignment, we go work wit one small dataset of diabetes patients wey dem collect from [here](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html). For dis assignment, we go work wit one small dataset of diabetes patients wey dem collect from [here](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html).

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# Introduction to Data Science # Introduction to Data Science
![data dey work](../../../translated_images/pcm/data.48e22bb7617d8d92.webp) ![data dey work](../../../translated_images/pcm/data.48e22bb7617d8d92.webp)

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# Working with Data: Relational Databases # Working with Data: Relational Databases
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)|

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# How to show airport data # How to show airport data
Dem don give you one [database](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db) wey dey use [SQLite](https://sqlite.org/index.html) wey get info about airports. The schema dey show for down. You go use the [SQLite extension](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) for [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum) to show info about airports for different cities. Dem don give you one [database](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db) wey dey use [SQLite](https://sqlite.org/index.html) wey get info about airports. The schema dey show for down. You go use the [SQLite extension](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) for [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum) to show info about airports for different cities.

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# How to Work with Data: Non-Relational Data # How to Work with Data: Non-Relational Data
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)|

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# Soda Profits # Soda Profits
## Instructions ## Instructions

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# How to Work with Data: Python and Pandas Library # How to Work with Data: Python and Pandas Library
| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) | | ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) |

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# Assignment for Data Processing for Python # Assignment for Data Processing for Python
For dis assignment, we go ask you make you explain di code wey we don start to dey develop for our challenges. Di assignment get two parts: For dis assignment, we go ask you make you explain di code wey we don start to dey develop for our challenges. Di assignment get two parts:

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# Work wit Data: Data Preparation # Work wit Data: Data Preparation
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)|

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# Check Data Wey Dem Collect From Form # Check Data Wey Dem Collect From Form
One client dey test one [small form](../../../../2-Working-With-Data/08-data-preparation/index.html) to collect some basic info about dia client dem. Dem don carry wetin dem find come meet you make you check di data wey dem don collect. You fit open di `index.html` page for browser to see di form. One client dey test one [small form](../../../../2-Working-With-Data/08-data-preparation/index.html) to collect some basic info about dia client dem. Dem don carry wetin dem find come meet you make you check di data wey dem don collect. You fit open di `index.html` page for browser to see di form.

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# How to Work with Data # How to Work with Data
![data love](../../../translated_images/pcm/data-love.a22ef29e6742c852.webp) ![data love](../../../translated_images/pcm/data-love.a22ef29e6742c852.webp)

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# Visualizing Quantities # Visualizing Quantities
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/09-Visualizing-Quantities.png)|

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# Lines, Scatters and Bars # Lines, Scatters and Bars
## Instructions ## Instructions

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# Visualizing Distributions # Visualizing Distributions
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/10-Visualizing-Distributions.png)|

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# Use your skills # Use your skills
## Wetin you go do ## Wetin you go do

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# Visualizing Proportions # Visualizing Proportions
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/11-Visualizing-Proportions.png)|

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# Try am for Excel # Try am for Excel
## Instructions ## Instructions

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# Visualizing Relationships: All About Honey 🍯 # Visualizing Relationships: All About Honey 🍯
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)|

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# Dive inside di beehive # Dive inside di beehive
## Instructions ## Instructions

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# How to Make Visualizations Wey Get Meaning # How to Make Visualizations Wey Get Meaning
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)| |![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)|

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