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# Definiranje podatkovne znanosti
| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) |

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# Zadatak: Scenariji za Data Science
U ovom prvom zadatku tražimo od vas da razmislite o nekom stvarnom procesu ili problemu u različitim domenama problema i kako ga možete poboljšati koristeći Data Science proces. Razmislite o sljedećem:

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# Zadatak: Scenariji za Data Science
U ovom prvom zadatku tražimo od vas da razmislite o nekom stvarnom procesu ili problemu u različitim domenama problema i kako ga možete poboljšati koristeći Data Science proces. Razmislite o sljedećem:

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# Uvod u etiku podataka
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)|

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## Napišite studiju slučaja o etici podataka
## Upute

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

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# Klasifikacija Skupova Podataka
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# Kratki uvod u statistiku i teoriju vjerojatnosti
|![ Sketchnote od [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)|
@ -64,7 +55,7 @@ Kako bismo bolje razumjeli raspodjelu podataka, korisno je govoriti o **kvartili
Grafički možemo prikazati odnos između medijana i kvartila u dijagramu zvanom **box plot**:
<img src="images/boxplot_explanation.png" alt="Objašnjenje box plota" width="50%">
<img src="../../../../translated_images/hr/boxplot_explanation.4039b7de08780fd4.webp" alt="Objašnjenje box plota" width="50%">
Ovdje također izračunavamo **međukvartilni raspon** IQR=Q3-Q1 i tzv. **outliere** - vrijednosti koje leže izvan granica [Q1-1.5*IQR, Q3+1.5*IQR].

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# Mala studija o dijabetesu
U ovom zadatku radit ćemo s malim skupom podataka o pacijentima s dijabetesom preuzetim s [ovdje](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html).

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# Uvod u podatkovnu znanost
![podaci u akciji](../../../translated_images/hr/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg)

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# Rad s podacima: Relacijske baze podataka
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)|

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# Prikaz podataka o zračnim lukama
Dobili ste [bazu podataka](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db) izgrađenu na [SQLite](https://sqlite.org/index.html) koja sadrži informacije o zračnim lukama. Shema baze podataka prikazana je dolje. Koristit ćete [SQLite ekstenziju](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) u [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum) za prikaz informacija o zračnim lukama u različitim gradovima.

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# Rad s podacima: Nerelacijski podaci
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)|

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# Dobit od sode
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# Rad s Podacima: Python i Pandas Biblioteka
| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) |

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# Zadatak za obradu podataka u Pythonu
U ovom zadatku tražimo od vas da razradite kod koji smo započeli razvijati u našim izazovima. Zadatak se sastoji od dva dijela:

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# Rad s podacima: Priprema podataka
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)|

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# Procjena podataka iz obrasca
Klijent je testirao [mali obrazac](../../../../2-Working-With-Data/08-data-preparation/index.html) za prikupljanje osnovnih podataka o svojoj bazi klijenata. Donijeli su vam svoje nalaze kako biste provjerili podatke koje su prikupili. Možete otvoriti stranicu `index.html` u pregledniku kako biste pogledali obrazac.

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# Rad s podacima
![data love](../../../translated_images/hr/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg)

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

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# Linije, Raspršenja i Stupci
## Upute

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

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# Primijenite svoje vještine
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# Vizualizacija proporcija
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# Isprobajte u Excelu
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# Vizualizacija odnosa: Sve o medu 🍯
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)|

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# Zaronite u košnicu
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# Izrada Smislenih Vizualizacija
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)|

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# Izradite vlastiti prilagođeni vizualizator
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# Projekt vizualizacije podataka Dangerous Liaisons
Za početak, potrebno je osigurati da imate NPM i Node instalirane na svom računalu. Instalirajte ovisnosti (npm install) i zatim pokrenite projekt lokalno (npm run serve):

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# Projekt vizualizacije podataka Dangerous Liaisons
Za početak, potrebno je osigurati da imate instalirane NPM i Node na svom računalu. Instalirajte ovisnosti (npm install) i zatim pokrenite projekt lokalno (npm run serve):

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# Vizualizacija Količina
|![ Sketchnote autora [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/09-Visualizing-Quantities.png)|
|:---:|

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# Linije, Raspršeni Grafovi i Stupčasti Grafovi
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# Vizualizacija distribucija
|![ Sketchnote autora [(@sketchthedocs)](https://sketchthedocs.dev) ](https://github.com/microsoft/Data-Science-For-Beginners/blob/main/sketchnotes/10-Visualizing-Distributions.png)|

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# Primijenite svoje vještine
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# Vizualizacija proporcija
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# Vizualizacija odnosa: Sve o medu 🍯
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/12-Visualizing-Relationships.png)|

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# Izrada Smislenih Vizualizacija
|![ Sketchnote autor [(@sketchthedocs)](https://sketchthedocs.dev) ](../../../sketchnotes/13-MeaningfulViz.png)|

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# Vizualizacije
![pčela na cvijetu lavande](../../../translated_images/hr/bee.0aa1d91132b12e3a8994b9ca12816d05ce1642010d9b8be37f8d37365ba845cf.jpg)

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# Uvod u životni ciklus podatkovne znanosti
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/14-DataScience-Lifecycle.png)|

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# Procjena skupa podataka
Klijent se obratio vašem timu za pomoć u istraživanju sezonskih potrošačkih navika taksi korisnika u New Yorku.

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# Životni ciklus podatkovne znanosti: Analiza
|![ Sketchnote autora [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/15-Analyzing.png)|

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# Istraživanje odgovora
Ovo je nastavak [zadatka](../14-Introduction/assignment.md) iz prethodne lekcije, gdje smo ukratko pregledali skup podataka. Sada ćemo detaljnije analizirati podatke.

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# Životni ciklus podatkovne znanosti: Komunikacija
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev)](../../sketchnotes/16-Communicating.png)|

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# Ispričajte priču
## Upute

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# Životni ciklus podatkovne znanosti
![communication](../../../translated_images/hr/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.jpg)

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# Uvod u podatkovnu znanost u oblaku
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/17-DataScience-Cloud.png)|

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# Istraživanje Tržišta
## Upute

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# Data Science u oblaku: "Low code/No code" pristup
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/18-DataScience-Cloud.png)|

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# Projekt znanosti o podacima s malo ili bez kodiranja na Azure ML
## Upute

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# Data Science u oblaku: Put "Azure ML SDK"
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/19-DataScience-Cloud.png)|

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# Projekt Data Science koristeći Azure ML SDK
## Upute

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# Data Science u oblaku
![cloud-picture](../../../translated_images/hr/cloud-picture.f5526de3c6c6387b2d656ba94f019b3352e5e3854a78440e4fb00c93e2dea675.jpg)

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# Data Science u stvarnom svijetu
| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png) |

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# Istražite skup podataka Planetary Computer
## Upute

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# Data znanost u divljini
Primjene podatkovne znanosti u stvarnom svijetu kroz različite industrije.

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# AGENTS.md
## Pregled projekta

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# Microsoftov Kodeks ponašanja za otvoreni izvor
Ovaj projekt je usvojio [Microsoftov Kodeks ponašanja za otvoreni izvor](https://opensource.microsoft.com/codeofconduct/).

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# Doprinos Data Science for Beginners
Hvala vam na interesu za doprinos kurikulumu Data Science for Beginners! Pozdravljamo doprinose iz zajednice.

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# Vodič za instalaciju
Ovaj vodič pomoći će vam da postavite svoje okruženje za rad s kurikulumom "Data Science for Beginners".

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# Data Science za početnike - Nastavni program
[![Otvori u GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198)
[![GitHub licenca](https://img.shields.io/github/license/microsoft/Data-Science-For-Beginners.svg)](https://github.com/microsoft/Data-Science-For-Beginners/blob/master/LICENSE)
[![GitHub suradnici](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/)
[![GitHub problemi](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/)
# Data Science za početnike - nastavni plan
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=344191198)
[![GitHub license](https://img.shields.io/github/license/microsoft/Data-Science-For-Beginners.svg)](https://github.com/microsoft/Data-Science-For-Beginners/blob/master/LICENSE)
[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/graphs/contributors/)
[![GitHub issues](https://img.shields.io/github/issues/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/issues/)
[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/Data-Science-For-Beginners.svg)](https://GitHub.com/microsoft/Data-Science-For-Beginners/pulls/)
[![PRs Dobrodošli](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
[![GitHub pratitelji](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 forkovanja](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 zvijezde](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 watchers](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 forks](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 stars](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)
Advokati za Azure Cloud u Microsoftu s veseljem nude 10-tjedni nastavni program s 20 lekcija potpuno o Data Science. Svaka lekcija uključuje kviz prije i nakon lekcije, pisane upute za dovršetak lekcije, rješenje i zadatak. Naša pedagoška metoda temelji se na projektima koji vam omogućuju učenje kroz izgradnju, što je dokazani način da nove vještine “začvršćuju”.
Azure Cloud Advocates u Microsoftu s veseljem vam nude 10-tjedni, 20-lekcijski nastavni plan posvećen Data Scienceu. Svaka lekcija uključuje kviz prije i nakon lekcije, pisane upute za dovršetak lekcije, rješenje i zadatak. Naša projektno-orijentirana pedagogija omogućuje vam učenje kroz praktičan rad, što je dokazani način da nove vještine zaista uđju u upotrebu.
**Srdačna zahvala našim autorima:** [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).
**Iskrene zahvalnosti našim autorima:** [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).
**🙏 Posebna zahvala 🙏 našim autorima, recenzentima i suradnicima sadržaja iz [Microsoft Student Ambassador programa](https://studentambassadors.microsoft.com/),** posebno Aaryanu Arori, [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),
**🙏 Posebna hvala 🙏 našim [Microsoft Student Ambassador](https://studentambassadors.microsoft.com/) autorima, recenzentima i suradnicima,** s posebnim isticanjem Aaryana 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/hr/00-Title.8af36cd35da1ac55.webp)|
|![Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../translated_images/hr/00-Title.8af36cd35da1ac55.webp)|
|:---:|
| Data Science Za Početnike - _Sketchnote autora [@nitya](https://twitter.com/nitya)_ |
| Data Science za početnike - _Sketchnote autora [@nitya](https://twitter.com/nitya)_ |
### 🌐 Podrška za više jezika
#### Podržano putem GitHub Action (Automatski i uvijek ažurno)
#### Podržano putem GitHub Action (automatski i uvijek ažurno)
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> **Radije klonirati lokalno?**
> **Preferirate klonirati lokalno?**
> Ovaj repozitorij uključuje 50+ prijevoda na razne jezike što znatno povećava veličinu preuzimanja. Za kloniranje bez prijevoda, koristite sparse checkout:
> Ovaj repozitorij sadrži 50+ jezičnih prijevoda što znatno povećava veličinu preuzimanja. Za kloniranje bez prijevoda, koristite 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'
> ```
> Ovo vam daje sve što vam je potrebno za dovršetak tečaja s mnogo bržim preuzimanjem.
> Ovo vam daje sve što vam je potrebno da dovršite tečaj s puno bržim preuzimanjem.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Ako želite da se podrže dodatni jezici za prijevod, oni su navedeni [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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#### Pridružite se našoj zajednici
#### Pridružite se našoj zajednici
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Trenutno imamo aktivan Discord serijal o učenju uz AI, saznajte više i pridružite nam se na [Learn with AI Series](https://aka.ms/learnwithai/discord) od 18. do 30. rujna 2025. Dobit ćete savjete i trikove za korištenje GitHub Copilota za Data Science.
Imamo seriju učenja s AI na Discordu koja je u tijeku, saznajte više i pridružite nam se na [Learn with AI Series](https://aka.ms/learnwithai/discord) od 18. do 30. rujna 2025. godine. Dobit ćete savjete i trikove za korištenje GitHub Copilot za Data Science.
![Learn with AI serija](../../../../translated_images/hr/1.2b28cdc6205e26fe.webp)
![Learn with AI series](../../translated_images/hr/1.2b28cdc6205e26fe.webp)
# Jeste li student?
Započnite s ovim resursima:
Započnite s sljedećim resursima:
- [Student Hub stranica](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Na ovoj stranici pronaći ćete resurse za početnike, studentske pakete, pa čak i načine kako dobiti besplatni certifikacijski vaučer. Ovo je stranica koju želite spremiti u omiljene i povremeno provjeravati jer redovito mijenjamo sadržaj.
- [Student Hub stranica](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Na ovoj stranici pronaći ćete resurse za početnike, studentske pakete i čak načine za dobivanje besplatnog certifikacijskog vaučera. Ovo je jedna stranica koju želite dodati u favorite i povremeno provjeravati jer periodično mijenjamo sadržaj, barem mjesečno.
- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Pridružite se globalnoj zajednici studentskih ambasadora, ovo može biti vaš put u Microsoft.
# Početak
# Početak rada
## 📚 Dokumentacija
- **[Vodič za instalaciju](INSTALLATION.md)** - Korak-po-korak upute za početnike
- **[Vodič za korištenje](USAGE.md)** - Primjeri i uobičajeni radni protokovi
- **[Rješavanje problema](TROUBLESHOOTING.md)** - Rješenja za česte probleme
- **[Vodič za doprinos](CONTRIBUTING.md)** - Kako doprinijeti ovom projektu
- **[Za nastavnike](for-teachers.md)** - Upute za podučavanje i resursi za učionicu
- **[Vodič za instalaciju](INSTALLATION.md)** - korak-po-korak upute za postavljanje za početnike
- **[Vodič za korištenje](USAGE.md)** - primjeri i uobičajeni radni tijekovi
- **[Rješavanje problema](TROUBLESHOOTING.md)** - rješenja za česte probleme
- **[Vodič za doprinos](CONTRIBUTING.md)** - kako doprinijeti ovom projektu
- **[Za nastavnike](for-teachers.md)** - smjernice i resursi za nastavu
## 👨‍🎓 Za studente
> **Potpuni početnici**: Novi ste u data science? Počnite s našim [primjerima za početnike](examples/README.md)! Ovi jednostavni, dobro komentirani primjeri pomoći će vam da razumijete osnove prije nego što započnete s cijelim nastavnim programom.
> **[Studenti](https://aka.ms/student-page)**: za samostalno korištenje ovog nastavnog programa, forkajte cijeli repozitorij i samostalno riješite vježbe, počevši s kvizom prije lekcije. Zatim pročitajte lekciju i dovršite ostale aktivnosti. Pokušajte stvarati projekte razumijevanjem lekcija, a ne kopiranjem rješenja; međutim, rješenja su dostupna u /solutions mapama unutar svake lekcije orijentirane na projekte. Druga ideja je formirati studijsku grupu s prijateljima i zajedno proći sadržaj. Za daljnje učenje preporučujemo [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum).
> **Potpuni početnici**: Novi ste u data scienceu? Počnite s našim [primjerima prilagođenima početnicima](examples/README.md)! Ovi jednostavni, dobro komentirani primjeri pomoći će vam razumjeti osnove prije nego što krenete u cjeloviti nastavni plan.
> **[Studenti](https://aka.ms/student-page)**: da biste koristili ovaj nastavni plan sami, napravite fork kompletnog repozitorija i dovršite zadatke samostalno, počevši s kvizom prije predavanja. Potom pročitajte predavanje i dovršite preostale aktivnosti. Pokušajte napraviti projekte razumijevanjem lekcija, a ne samo kopiranjem koda rješenja; ipak, taj kod dostupan je u mapama /solutions u svakoj lekciji usmjerenoj na projekte. Još jedna ideja je da se formira grupa za učenje s prijateljima i zajedno prođete sadržaj. Za daljnje učenje preporučujemo [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum).
**Brzi početak:**
1. Pogledajte [Vodič za instalaciju](INSTALLATION.md) da postavite svoje okruženje
2. Pregledajte [Vodič za korištenje](USAGE.md) da naučite kako raditi s nastavnim programom
1. Provjerite [Vodič za instalaciju](INSTALLATION.md) za postavljanje okruženja
2. Pregledajte [Vodič za korištenje](USAGE.md) da naučite kako raditi s nastavnim planom
3. Počnite s Lekcijom 1 i radite redom
4. Pridružite se našoj [Discord zajednici](https://aka.ms/ds4beginners/discord) za podršku
## 👩‍🏫 Za nastavnike
> **Nastavnici**: pripremili smo [neke prijedloge](for-teachers.md) kako koristiti ovaj nastavni program. Voljeli bismo vaše povratne informacije [u našem forumu za raspravu](https://github.com/microsoft/Data-Science-For-Beginners/discussions)!
> **Nastavnici**: uključili smo [neke prijedloge](for-teachers.md) o tome kako koristiti ovaj nastavni plan. Veselimo se vašim povratnim informacijama [u našem diskusionom forumu](https://github.com/microsoft/Data-Science-For-Beginners/discussions)!
## Upoznajte tim
[![Promo video](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Promo video")
**Gif by** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal)
**Gif autora** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal)
> 🎥 Kliknite na sliku iznad za video o projektu i ljudima koji su ga stvorili!
> 🎥 Kliknite gornju sliku za video o projektu i ljudima koji su ga stvorili!
## Pedagogija
Odabrali smo dva pedagoška načela prilikom izrade ovog kurikuluma: osigurati da je projektno orijentiran i da uključuje česte kvizove. Na kraju ove serije, studenti će naučiti osnovne principe znanosti o podacima, uključujući etičke koncepte, pripremu podataka, različite načine rada s podacima, vizualizaciju podataka, analizu podataka, stvarne primjere primjene znanosti o podacima i još mnogo toga.
Odabrali smo dva pedagoška načela pri izradi ovog kurikuluma: osigurati da je projektno orijentiran i da uključuje česte kvizove. Do kraja ove serije, studenti će naučiti osnovne principe znanosti o podacima, uključujući etičke pojmove, pripremu podataka, različite načine rada s podacima, vizualizaciju podataka, analizu podataka, stvarne primjere primjene znanosti o podacima i više.
Osim toga, kviz s malim ulozima prije nastave postavlja namjeru učenika prema učenju teme, dok kviz nakon nastave osigurava dodatno zadržavanje znanja. Ovaj kurikulum je osmišljen da bude fleksibilan i zabavan, i može se pohađati u cijelosti ili djelomično. Projekti započinju malim koracima i postaju sve složeniji do kraja desetotjednog ciklusa.
Uz to, kviz s malim ulogom prije nastave postavlja namjeru studenta za učenje teme, dok drugi kviz nakon nastave osigurava daljnju zadržavanje znanja. Ovaj kurikulum dizajniran je da bude fleksibilan i zabavan te se može proći u cijelosti ili djelomično. Projekti počinju jednostavni i postaju sve složeniji do kraja ciklusa od 10 tjedana.
> Pronađite naš [Kodeks ponašanja](CODE_OF_CONDUCT.md), smjernice za [Doprinos](CONTRIBUTING.md), [Prevoditelje](TRANSLATIONS.md). Dobrodošli su vaši konstruktivni prijedlozi!
> Pronađite naše [Pravila ponašanja](CODE_OF_CONDUCT.md), upute za [Doprinos](CONTRIBUTING.md), [Prevođenje](TRANSLATIONS.md). Dobrodošle su vaše konstruktivne povratne informacije!
## Svaka lekcija uključuje:
- Opcionalnu skicu bilješke
- Opcionalni dodatni video
- Neobaveznu skicu
- Neobavezni dodatni video
- Kviz za zagrijavanje prije lekcije
- Pisanu lekciju
- Za lekcije temeljene na projektima, vodiče korak po korak kako izgraditi projekt
- Za lekcije temeljene na projektima, korak-po-korak upute kako izraditi projekt
- Provjere znanja
- Izazov
- Dopunsko čitanje
- Dodatno čitanje
- Zadatak
- [Kviz nakon lekcije](https://ff-quizzes.netlify.app/en/)
> **Napomena o kvizovima**: Svi kvizovi nalaze se u mapi Quiz-App, ukupno 40 kvizova od po tri pitanja. Povezani su unutar lekcija, ali quiz aplikaciju možete pokrenuti lokalno ili je implementirati u Azure; pratite upute u mapi `quiz-app`. Postupno se prevode.
> **Napomena o kvizovima**: Svi kvizovi nalaze se u mapi Quiz-App, ukupno 40 kvizova s po tri pitanja. Povezani su iz lekcija, ali se aplikacija za kviz može pokrenuti lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju.
## 🎓 Primjerci prilagođeni početnicima
## 🎓 Primjeri prilagođeni početnicima
**Novi ste u znanosti o podacima?** Stvorili smo posebni [direktorij primjera](examples/README.md) s jednostavnim, dobro komentiranim kodom koji će vam pomoći da započnete:
**Novi u znanosti o podacima?** Stvorili smo poseban [direktorij primjera](examples/README.md) s jednostavnim, dobro komentiranim kodom kako bismo vam pomogli da započnete:
- 🌟 **Hello World** - Vaš prvi programski projekt o znanosti o podacima
- 🌟 **Hello World** - Vaš prvi program iz znanosti o podacima
- 📂 **Učitavanje podataka** - Naučite čitati i istraživati skupove podataka
- 📊 **Jednostavna analiza** - Izračunajte statistike i pronađite obrasce
- 📈 **Osnovna vizualizacija** - Kreirajte grafikone i dijagrame
- 🔬 **Stvarni projekt** - Potpuni tijek rada od početka do kraja
- 📈 **Osnovna vizualizacija** - Izradite grafikone i dijagrame
- 🔬 **Projekt iz stvarnog svijeta** - Cjelokupan tijek rada od početka do kraja
Svaki primjer uključuje detaljne komentare koji objašnjavaju svaki korak, što ih čini savršenim za apsolutne početnike!
Svaki primjer uključuje detaljne komentare koji objašnjavaju svaki korak, što ga čini savršenim za apsolutne početnike!
👉 **[Započnite s primjerima](examples/README.md)** 👈
## Lekcije
|![ Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../../../translated_images/hr/00-Roadmap.4905d6567dff4753.webp)|
|![ Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../translated_images/hr/00-Roadmap.4905d6567dff4753.webp)|
|:---:|
| Data Science For Beginners: Karta puta - _Sketchnote by [@nitya](https://twitter.com/nitya)_ |
| Data Science For Beginners: Roadmap - _Sketchnote by [@nitya](https://twitter.com/nitya)_ |
| Broj lekcije | Tema | Grupa lekcija | Ciljevi učenja | Povezana lekcija | Autor |
| Broj lekcije | Tema | Grupa lekcije | Ciljevi učenja | Povezana lekcija | Autor |
| :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: |
| 01 | Definiranje znanosti o podacima | [Uvod](1-Introduction/README.md) | Naučite osnovne koncepte znanosti o podacima i kako su povezani s umjetnom inteligencijom, strojnim učenjem i velikim podacima. | [lekcija](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) |
| 02 | Etika u znanosti o podacima | [Uvod](1-Introduction/README.md) | Pojmovi etike u podacima, izazovi i okviri. | [lekcija](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) |
| 01 | Definiranje znanosti o podacima | [Uvod](1-Introduction/README.md) | Naučite osnovne pojmove iza znanosti o podacima i kako je povezana s umjetnom inteligencijom, strojnim učenjem i velikim podacima. | [lekcija](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) |
| 02 | Etika u znanosti o podacima | [Uvod](1-Introduction/README.md) | Pojmovi, izazovi i okviri etike u podacima. | [lekcija](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) |
| 03 | Definiranje podataka | [Uvod](1-Introduction/README.md) | Kako se podaci klasificiraju i njihovi uobičajeni izvori. | [lekcija](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 04 | Uvod u statistiku i vjerojatnost | [Uvod](1-Introduction/README.md) | Matematičke tehnike vjerojatnosti i statistike za razumijevanje podataka. | [lekcija](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) |
| 05 | Rad s relacijskim podacima | [Rad s podacima](2-Working-With-Data/README.md) | Uvod u relacijske podatke i osnovne načine istraživanja i analize relacijskih podataka pomoću strukturiranog upitnog jezika poznatog kao SQL (izgovara se "es-kju-el"). | [lekcija](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | |
| 06 | Rad s NoSQL podacima | [Rad s podacima](2-Working-With-Data/README.md) | Uvod u nerelacijske podatke, njihove različite tipove i osnovne načine istraživanja i analize dokumenata unutar baza podataka. | [lekcija](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)|
| 07 | Rad s Pythonom | [Rad s podacima](2-Working-With-Data/README.md) | Osnove korištenja Pythona za istraživanje podataka pomoću biblioteka poput Pandas. Preporučuje se osnovno poznavanje programiranja u Pythonu. | [lekcija](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) |
| 08 | Priprema podataka | [Rad s podacima](2-Working-With-Data/README.md) | Tehnike čišćenja i transformacije podataka za rješavanje izazova poput nedostajućih, netočnih ili nepotpunih podataka. | [lekcija](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 05 | Rad s relacijskim podacima | [Rad s podacima](2-Working-With-Data/README.md) | Uvod u relacijske podatke i osnove istraživanja i analize relacijskih podataka pomoću Strukturiranog upitnog jezika, poznatog kao SQL (izgovara se "es-kju-el"). | [lekcija](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | |
| 06 | Rad s NoSQL podacima | [Rad s podacima](2-Working-With-Data/README.md) | Uvod u nerelacijske podatke, njihove različite vrste i osnove istraživanja i analize baza podataka dokumenata. | [lekcija](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)|
| 07 | Rad s Pythonom | [Rad s podacima](2-Working-With-Data/README.md) | Osnove korištenja Pythona za istraživanje podataka s bibliotekama poput Pandas. Preporuča se temeljno razumijevanje programiranja u Pythonu. | [lekcija](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) |
| 08 | Priprema podataka | [Rad s podacima](2-Working-With-Data/README.md) | Tema o tehnikama čišćenja i transformacije podataka za rješavanje izazova nepotpunih, netočnih ili manjkavih podataka. | [lekcija](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 09 | Vizualizacija količina | [Vizualizacija podataka](3-Data-Visualization/README.md) | Naučite kako koristiti Matplotlib za vizualizaciju podataka o pticama 🦆 | [lekcija](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) |
| 10 | Vizualizacija distribucije podataka | [Vizualizacija podataka](3-Data-Visualization/README.md) | Vizualizacija opažanja i trendova unutar intervala. | [lekcija](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 11 | Vizualizacija proporcija | [Vizualizacija podataka](3-Data-Visualization/README.md) | Vizualizacija diskretnih i grupiranih postotaka. | [lekcija](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 12 | Vizualizacija odnosa | [Vizualizacija podataka](3-Data-Visualization/README.md) | Vizualizacija povezanosti i korelacija između skupina podataka i njihovih varijabli. | [lekcija](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) |
| 13 | Smislene vizualizacije | [Vizualizacija podataka](3-Data-Visualization/README.md) | Tehnike i smjernice za izradu vrijednih vizualizacija za učinkovito rješavanje problema i dobivanje uvida. | [lekcija](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) |
| 14 | Uvod u životni ciklus znanosti o podacima | [Životni ciklus](4-Data-Science-Lifecycle/README.md) | Uvod u životni ciklus znanosti o podacima i njegov prvi korak - prikupljanje i izdvajanje podataka. | [lekcija](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) |
| 15 | Analiza | [Životni ciklus](4-Data-Science-Lifecycle/README.md) | Ova faza životnog ciklusa usredotočuje se na tehnike za analizu podataka. | [lekcija](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | |
| 16 | Komunikacija | [Životni ciklus](4-Data-Science-Lifecycle/README.md) | Ova faza životnog ciklusa usredotočuje se na predstavljanje uvida iz podataka na način koji olakšava donošenje odluka. | [lekcija](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | |
| 17 | Znanost o podacima u oblaku | [Oblak podataka](5-Data-Science-In-Cloud/README.md) | Ova serija lekcija uvodi znanost o podacima u oblaku i njene prednosti. | [lekcija](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) |
| 18 | Znanost o podacima u oblaku | [Oblak podataka](5-Data-Science-In-Cloud/README.md) | Treniranje modela pomoću Low Code alata. |[lekcija](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) |
| 19 | Znanost o podacima u oblaku | [Oblak podataka](5-Data-Science-In-Cloud/README.md) | Implementacija modela s Azure Machine Learning Studio. | [lekcija](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) |
| 20 | Znanost o podacima u prirodi | [U prirodi](6-Data-Science-In-Wild/README.md) | Projekti u stvarnom svijetu vođeni znanošću o podacima. | [lekcija](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) |
| 11 | Vizualizacija omjera | [Vizualizacija podataka](3-Data-Visualization/README.md) | Vizualizacija diskretnih i grupiranih postotaka. | [lekcija](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 12 | Vizualizacija odnosa | [Vizualizacija podataka](3-Data-Visualization/README.md) | Vizualizacija veza i korelacija između skupova podataka i njihovih varijabli. | [lekcija](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) |
| 13 | Smislene vizualizacije | [Vizualizacija podataka](3-Data-Visualization/README.md) | Tehnike i smjernice za vrijedne vizualizacije za učinkovito rješavanje problema i uvide. | [lekcija](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) |
| 14 | Uvod u životni ciklus znanosti o podacima | [Životni ciklus](4-Data-Science-Lifecycle/README.md) | Uvod u životni ciklus znanosti o podacima i njegov prvi korak – prikupljanje i izdvajanje podataka. | [lekcija](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) |
| 15 | Analiza | [Životni ciklus](4-Data-Science-Lifecycle/README.md) | Ova faza životnog ciklusa znanosti o podacima fokusira se na tehnike analize podataka. | [lekcija](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | |
| 16 | Komunikacija | [Životni ciklus](4-Data-Science-Lifecycle/README.md) | Ova faza životnog ciklusa znanosti o podacima fokusira se na predstavljanje uvida iz podataka na način koji olakšava razumijevanje donosiocima odluka. | [lekcija](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | |
| 17 | Znanost o podacima u oblaku | [Podaci u oblaku](5-Data-Science-In-Cloud/README.md) | Ova serija lekcija uvodi znanost o podacima u oblaku i njezine prednosti. | [lekcija](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) |
| 18 | Znanost o podacima u oblaku | [Podaci u oblaku](5-Data-Science-In-Cloud/README.md) | Treniranje modela pomoću Low Code alata. |[lekcija](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) |
| 19 | Znanost o podacima u oblaku | [Podaci u oblaku](5-Data-Science-In-Cloud/README.md) | Postavljanje modela pomoću Azure Machine Learning Studio. | [lekcija](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) i [Maud](https://twitter.com/maudstweets) |
| 20 | Znanost o podacima u stvarnom svijetu | [U stvarnom svijetu](6-Data-Science-In-Wild/README.md) | Projekti iz stvarnog svijeta vođeni znanošću o podacima. | [lekcija](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) |
## GitHub Codespaces
Slijedite ove korake za otvaranje ovog primjera u Codespace-u:
1. Kliknite na padajući izbornik Code i odaberite opciju Open with Codespaces.
Slijedite ove korake za otvaranje ovog primjera u Codespaceu:
1. Kliknite izbornik Code i odaberite opciju Open with Codespaces.
2. Odaberite + New codespace na dnu panela.
Za više informacija pogledajte [GitHub dokumentaciju](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace).
## VSCode Remote - Containers
Slijedite ove korake za otvaranje ovog repozitorija u kontejneru koristeći vašu lokalnu mašinu i VSCode s ekstenzijom VS Code Remote - Containers:
Slijedite ove korake za otvaranje ovog spremišta u kontejneru koristeći svoje lokalno računalo i VSCode koristeći ekstenziju VS Code Remote - Containers:
1. Ako prvi put koristite razvojni kontejner, provjerite zadovoljava li vaš sustav preduvjete (npr. instaliran Docker) u [dokumentaciji za početak](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started).
1. Ako ovo prvi put koristite razvojni kontejner, molimo osigurajte da vaš sustav ispunjava preduvjete (npr. da imate instaliran Docker) u [dokumentaciji za početak](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started).
Za korištenje ovog repozitorija možete otvoriti repozitorij u izoliranom Docker volumenu:
Da biste koristili ovo spremište, možete otvoriti spremište u izoliranom Docker volumenu:
**Napomena**: Iza kulisa, koristi se naredba Remote-Containers: **Clone Repository in Container Volume...** za kloniranje izvornog koda u Docker volumen umjesto lokalnog datotečnog sustava. [Volumeni](https://docs.docker.com/storage/volumes/) su preporučeni mehanizam za trajno spremanje podataka unutar kontejnera.
**Napomena**: Ispod haube, ovo će koristiti Remote-Containers: **Clone Repository in Container Volume...** naredbu za kloniranje izvornih kodova u Docker volumen umjesto lokalnog file sustava. [Volumeni](https://docs.docker.com/storage/volumes/) su preporučeni mehanizam za trajno pohranjivanje podataka kontejnera.
Ili otvorite lokalno kloniranu ili preuzetu verziju repozitorija:
Ili otvorite lokalno kloniranu ili preuzetu verziju spremišta:
- Klonirajte ovaj repozitorij na lokalni datotečni sustav.
- Klonirajte ovo spremište na svoj lokalni file sustav.
- Pritisnite F1 i odaberite naredbu **Remote-Containers: Open Folder in Container...**.
- Odaberite kloniranu kopiju ove mape, pričekajte da se kontejner pokrene i isprobajte.
- Odaberite kloniranu kopiju ove mape, pričekajte da kontejner počne te isprobajte.
## Pristup bez mreže
## Pristup bez interneta
Možete pokretati ovu dokumentaciju izvan mreže koristeći [Docsify](https://docsify.js.org/#/). Razgranajte ovaj repozitorij, [instalirajte Docsify](https://docsify.js.org/#/quickstart) na lokalnoj mašini, zatim u korijenskoj mapi ovog repozitorija upišite `docsify serve`. Web stranica bit će dostupna na portu 3000 na vašem localhostu: `localhost:3000`.
Možete pokrenuti ovu dokumentaciju offline koristeći [Docsify](https://docsify.js.org/#/). Forkajte ovo spremište, [instalirajte Docsify](https://docsify.js.org/#/quickstart) na svoje lokalno računalo, zatim u korijenskoj mapi ovog spremišta upišite `docsify serve`. Web stranica će biti poslužena na portu 3000 na vašem localhostu: `localhost:3000`.
> Napomena, bilježnice (notebooks) neće biti prikazane putem Docsify, stoga ih pokrenite zasebno u VS Code-u s aktiviranim Python jezgrom (kernelom).
> Napomena, bilježnice neće biti prikazane putem Docsifyja, pa ih je potrebno pokrenuti zasebno u VS Codeu s Python jezgrom.
## Ostali kurikulumi
Naš tim proizvodi i druge kurikulume! Pogledajte:
Naš tim stvara i druge kurikulume! Pogledajte:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
@ -209,14 +200,14 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
---
### Azure / Edge / MCP / Agent
### Azure / Edge / MCP / Agenti
[![AZD za početnike](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 za početnike](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 za početnike](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 agenti za početnike](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 Agenti za početnike](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)
---
### Serija Generativne AI
[![Generativna AI za početnike](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)
[![Generativna 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)
@ -224,7 +215,7 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
[![Generativna 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)
---
### Osnovno učenje
[![ML za početnike](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 za početnike](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)
@ -235,22 +226,22 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
[![XR razvoj za početnike](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)
---
### Serija Copilot
[![Copilot za AI u paru programiranja](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 za AI Pomoćno Programiranje](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 za 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)
[![Copilot avantura](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)
[![Copilot Avantura](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 -->
## Dobivanje pomoći
**Imate problema?** Pogledajte naš [Vodič za rješavanje problema](TROUBLESHOOTING.md) za rješenja čestih problema.
**Imate problema?** Pogledajte naš [Vodič za rješavanje problema](TROUBLESHOOTING.md) za rješenja uobičajenih problema.
Ako zapnete ili imate pitanja o izradi AI aplikacija, pridružite se drugim učenicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica u kojoj su pitanja dobrodošla, a znanje se slobodno dijeli.
Ako zapnete ili imate pitanja o izradi AI aplikacija, pridružite se ostalim učenicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica u kojoj su pitanja dobrodošla, a znanje se slobodno dijeli.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Ako imate povratne informacije o proizvodu ili naiđete na pogreške tijekom izrade, posjetite:
Ako imate povratnu informaciju o proizvodu ili primijetite pogreške tijekom izrade, posjetite:
[![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 @@ Ako imate povratne informacije o proizvodu ili naiđete na pogreške tijekom izr
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Izjava o odricanju od odgovornosti**:
Ovaj je dokument preveden korištenjem AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na njegovom izvornom jeziku smatra se službenim izvorom. Za kritične informacije preporučuje se profesionalni prijevod od strane ljudskog prevoditelja. Ne snosimo odgovornost za bilo kakva nesporazuma ili pogrešna tumačenja koja proizlaze iz uporabe ovog prijevoda.
Ovaj dokument preveden je korištenjem AI prevoditeljskog servisa [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za kritične informacije preporučuje se stručni ljudski prijevod. Nismo odgovorni za bilo kakve nesporazume ili kriva tumačenja koja proizlaze iz korištenja ovog prijevoda.
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## Sigurnost
Microsoft ozbiljno pristupa sigurnosti svojih softverskih proizvoda i usluga, uključujući sve repozitorije izvornog koda kojima upravljamo putem naših GitHub organizacija, kao što su [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) i [naše GitHub organizacije](https://opensource.microsoft.com/).

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# Podrška
## Kako prijaviti probleme i dobiti pomoć

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# Vodič za rješavanje problema
Ovaj vodič pruža rješenja za uobičajene probleme na koje možete naići dok radite s kurikulumom "Data Science for Beginners".

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# Vodič za korištenje
Ovaj vodič pruža primjere i uobičajene radne procese za korištenje kurikuluma "Data Science for Beginners".

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- Uvod
- [Definiranje podatkovne znanosti](../1-Introduction/01-defining-data-science/README.md)
- [Etika podatkovne znanosti](../1-Introduction/02-ethics/README.md)

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# Primjeri za početnike u znanosti o podacima
Dobrodošli u direktorij s primjerima! Ova zbirka jednostavnih, dobro komentiranih primjera osmišljena je kako bi vam pomogla započeti sa znanošću o podacima, čak i ako ste potpuni početnik.

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## Za edukatore
Želite li koristiti ovaj kurikulum u svojoj učionici? Slobodno ga iskoristite!

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# Kvizovi
Ovi kvizovi su uvodni i završni kvizovi za kurikulum znanosti o podacima na https://aka.ms/datascience-beginners

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Pronađite sve sketchnoteove ovdje!
## Zasluge

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"language_code": "sl"
},
"sketchnotes/README.md": {
"original_hash": "3a848466cb63aff1a93411affb152c2a",
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# Definiranje podatkovne znanosti
| ![ Sketchnote avtorja [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/01-Definitions.png) |

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# Naloga: Scenariji podatkovne znanosti
V tej prvi nalogi vas prosimo, da razmislite o nekem resničnem procesu ali problemu v različnih problematičnih domenah in kako ga lahko izboljšate z uporabo procesa podatkovne znanosti. Razmislite o naslednjem:

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# Naloga: Scenariji podatkovne znanosti
V tej prvi nalogi vas prosimo, da razmislite o nekem resničnem procesu ali problemu v različnih problematičnih domenah in kako bi ga lahko izboljšali s procesom podatkovne znanosti. Razmislite o naslednjem:

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# Uvod v podatkovno etiko
|![ Sketchnote avtorja [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/02-Ethics.png)|

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## Napišite študijo primera o etiki podatkov
## Navodila

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

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# Razvrščanje podatkovnih nizov
## Navodila

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# Kratek uvod v statistiko in verjetnost
|![ Sketchnote avtorja [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/04-Statistics-Probability.png)|
@ -64,7 +55,7 @@ Za boljše razumevanje porazdelitve podatkov je koristno govoriti o **kvartilih*
Grafično lahko razmerje med mediano in kvartili predstavimo v diagramu, imenovanem **škatlasti diagram**:
<img src="images/boxplot_explanation.png" alt="Razlaga škatlastega diagrama" width="50%">
<img src="../../../../translated_images/sl/boxplot_explanation.4039b7de08780fd4.webp" alt="Razlaga škatlastega diagrama" width="50%">
Tukaj prav tako izračunamo **interkvartilni razpon** IQR=Q3-Q1 in tako imenovane **izstopajoče vrednosti** - vrednosti, ki ležijo zunaj meja [Q1-1.5*IQR, Q3+1.5*IQR].

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# Majhna študija o diabetesu
V tej nalogi bomo delali z majhnim naborom podatkov o bolnikih z diabetesom, ki je vzet iz [tukaj](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html).

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# Uvod v podatkovno znanost
![podatki v akciji](../../../translated_images/sl/data.48e22bb7617d8d92188afbc4c48effb920ba79f5cebdc0652cd9f34bbbd90c18.jpg)

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# Delo s podatki: Relacijske baze podatkov
|![ Sketchnote avtorja [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/05-RelationalData.png)|

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# Prikaz podatkov o letališčih
Na voljo imate [bazo podatkov](https://raw.githubusercontent.com/Microsoft/Data-Science-For-Beginners/main/2-Working-With-Data/05-relational-databases/airports.db), zgrajeno na [SQLite](https://sqlite.org/index.html), ki vsebuje informacije o letališčih. Shema je prikazana spodaj. Uporabili boste [razširitev SQLite](https://marketplace.visualstudio.com/items?itemName=alexcvzz.vscode-sqlite&WT.mc_id=academic-77958-bethanycheum) v [Visual Studio Code](https://code.visualstudio.com?WT.mc_id=academic-77958-bethanycheum) za prikaz informacij o letališčih v različnih mestih.

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# Delo z podatki: Nerelacijski podatki
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/06-NoSQL.png)|

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# Dobički od sode
## Navodila

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# Delo z podatki: Python in knjižnica Pandas
| ![ Sketchnote avtorja [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/07-WorkWithPython.png) |

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# Naloga za obdelavo podatkov v Pythonu
V tej nalogi vas bomo prosili, da razširite kodo, ki smo jo začeli razvijati v naših izzivih. Naloga je sestavljena iz dveh delov:

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# Delo z podatki: Priprava podatkov
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/08-DataPreparation.png)|

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# Vrednotenje podatkov iz obrazca
Stranka je testirala [majhen obrazec](../../../../2-Working-With-Data/08-data-preparation/index.html) za zbiranje osnovnih podatkov o svoji bazi strank. Svoje ugotovitve so prinesli k vam, da preverite zbrane podatke. Stran `index.html` lahko odprete v brskalniku, da si ogledate obrazec.

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# Delo s podatki
![ljubezen do podatkov](../../../translated_images/sl/data-love.a22ef29e6742c852505ada062920956d3d7604870b281a8ca7c7ac6f37381d5a.jpg)

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

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# Črte, razpršene točke in stolpci
## Navodila

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

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# Uporabite svoje veščine
## Navodila

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

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# Poskusite v Excelu
## Navodila

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# Vizualizacija odnosov: Vse o medu 🍯
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/12-Visualizing-Relationships.png)|

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# Potopite se v čebelnjak
## Navodila

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# Ustvarjanje smiselnih vizualizacij
|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/13-MeaningfulViz.png)|

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