# Data Science

TODO

## Articles

* [How To Become a Data Engineer](https://khashtamov.com/en/how-to-become-a-data-engineer/)
* [A Beginner’s Guide to Data Engineering — Part I](https://medium.com/@rchang/a-beginners-guide-to-data-engineering-part-i-4227c5c457d7)
* [The Rise of the Data Engineer](https://www.freecodecamp.org/news/the-rise-of-the-data-engineer-91be18f1e603/)
* [Amazon Data Science Interview](https://medium.com/acing-ai/amazon-ai-interview-questions-acing-the-ai-interview-3ed4e671920f)
* [Modern Data Practice and the SQL Tradition](https://tselai.com/modern-data-practice-and-the-sql-tradition.html)
* [The Modern Data Science Stack](https://fivetran.com/blog/modern-data-science-stack)
* [Как стать Data Engineer](https://khashtamov.com/ru/data-engineer/)
* [Самые востребованные навыки в профессии data engineer](https://habr.com/ru/company/productivity_inside/blog/484120/)
* [Что такое Big data engineering, и как развиваться в этой сфере](https://habr.com/ru/company/skillfactory/blog/552432/)
* [Кто такие дата-инженеры, и как ими становятся?](https://habr.com/ru/company/otus/blog/452670/)
* [Любить и понимать данные: кто такие дата инженеры и как им расти](https://ain.ua/2021/10/19/lyubit-i-ponimat-dannye-kto-takie-data-inzhenery-i-kak-im-rasti/?utmsorce)
* [Как начинающий Data Scientist может заработать на фрилансе?](https://proglib.io/p/kak-nachinayushchiy-data-scientist-mozhet-zarabotat-na-frilanse-2021-04-29)

## Book

* Теоретический минимум по Big Data
* Работа с Big Data в облаках (Александр Сенько)
* Applied data science with python and jupyter (Alex Galea)
* [Словарь Big Data (PDF)](https://www.itsumma.ru/dataops-mlops-support/big-data-dictionary?download=1)

## Courses / Videos

* [DevFest Siberia 2019 | Data Science](https://youtube.com/playlist?list=PLINg778NUJCr3gCksaJZCTMMDjH8GEQW3)
* [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis)
* [Data Engineering for Everyone](https://learn.datacamp.com/courses/data-engineering-for-everyone)
* [Data Science, черные ящики – и почему вам сильно повезло](https://youtu.be/zvGeLvWZ7yQ)
* [Highload (Технополис, осень 2017)](https://youtube.com/playlist?list=PLrCZzMib1e9rZohs_FJg8MK52Ey494z40)
* [Инфраструктура больших данных (семинары) (3 курс, весна 2021)](https://youtube.com/playlist?list=PL4_hYwCyhAvbI83zAjpg8EO52sBywa2rQ)
* [Инфраструктура больших данных (лекции) (3 курс, весна 2021)](https://youtube.com/playlist?list=PL4_hYwCyhAvbREHKcRpgkhKS4XoVz7Hpx)

## Links

* [A Visual Introduction to Machine Learning](http://www.r2d3.us/)
* [Notes On Using Data Science & Machine Learning](https://chrisalbon.com/)
* [160+ Data Science Interview Questions](https://hackernoon.com/160-data-science-interview-questions-415s3y2a)
* [#DATAENGINEERING](https://training.by/#!/News/Hashtag/dataengineering?lang=ru)
* [Data Engineers: материалы для самоподготовки](https://training.by/#!/News/131?lang=ru)
* [Awesome Data Engineering (best version IMHO)](https://awesomedataengineering.com/)
* [Foundations of Astronomical Data Science](https://datacarpentry.org/astronomy-python/)
* [Data Zen Community](https://www.youtube.com/c/DataZenCommunity/featured)
* [itversity](https://www.youtube.com/c/itversityin)
* [Awesome Data Engineering](https://github.com/igorbarinov/awesome-data-engineering)
* [Awesome Data Science](https://github.com/academic/awesome-datascience)
* [Awesome Big Data](https://github.com/0xnr/awesome-bigdata)
* [Data scientist roadmap](https://github.com/MrMimic/data-scientist-roadmap)
* [Data engineer roadmap](https://github.com/datastacktv/data-engineer-roadmap)
* [Data science blogs](https://github.com/rushter/data-science-blogs)
* [Data Science cheatsheet](https://github.com/ml874/Data-Science-Cheatsheet)
* [List of Data Science Cheatsheets](https://github.com/FavioVazquez/ds-cheatsheets)
* [How To Become a Data Engineer](https://github.com/adilkhash/Data-Engineering-HowTo)
* [Data Science Learning Resources](https://github.com/rebecca-vickery/data-science-learning-resources)
* [Data Science for Beginners - A Curriculum](https://github.com/microsoft/Data-Science-For-Beginners)