Data Science - gusenov/kb GitHub Wiki
- Хендбуки Академии Яндекса / ПАНДАН в социальных науках
- Яндекс Практикум / Блог / Анализ данных
- MIT Statistics and Data Science Center is an MIT-wide focal point for advancing research and education programs related to statistics and data science.
- 75 Data Science Projects with Python by Aman Kharwal
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“Data Science Handbook” by Stanford
- Topics range from how to design a study and create an analytic plan to how to do data visualization, summarization, and analysis.
- Python Data Science Handbook
- Think Stats
- Data Science Solutions with Python. Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn by Tshepo Chris Nokeri - 119 pages
- Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools by Jeroen Janssens
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Mahmoud Parsian
- Data Algorithms - 776 pages
- Data Algorithms with Spark - 435 pages
- Advanced Analytics with PySpark. Patterns for Learning from Data at Scale Using Python and Spark by Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills - 233 pages
- Python Data Science Handbook by Jake VanderPlas
- The Kaggle Book by Konrad Banachewicz , Luca Massaron - 534 pages
- The Kaggle Workbook by Konrad Banachewicz , Luca Massaron - 172 pages
- «Статистика и котики» (Савельев Владимир)
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Antonio Gulli (Eng Director for the Office of the CTO)
- A collection of Data Science Interview Questions Solved in Python and Spark: BigData and Machine Learning in Python and Spark (A Collection of Programming Interview Questions Book 6)
- Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning Bonus Questions (BigData and Machine Learning in Python and Spark)
- A collection of Advanced Data Science and Machine Learning Interview Questions Solved in Python and Spark (II) (A Collection of Programming Interview Questions Book 7)
- Хабр / Топ вопросов с Data Science собеседований: Деревья и ансамбли, кластеризация, метрические модели
- Practical Linear Algebra for Data Science. From Core Concepts to Applications Using Python by Mike X Cohen - 326 pages
- Stanford Online’s playlist for Statistics and Data Science
- Открытое образование
- ossu/data-science Path to a free self-taught education in Data Science
- nFactorial School / n! Data Science Комплексный курс по Data Science. Машинное обучение, статистика и анализ данных на Python.