Обзор 30 книг по науке о данных! Забирай себе!
1. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
2. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
3. Data Smart: Using Data Science to Transform Information into Insight
4. Storytelling with Data: A Data Visualization Guide for Business Professionals
5. R Cookbook
6. R for Data Science
7. R Graphics Cookbook
8. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
9. Think Python
10. Interactive Data Visualization for the Web
11. Learning Spark: Lightning-Fast Big Data Analysis
12. Doing Data Science: Straight Talk from the Frontline
13. Data Analysis with Open Source Tools
14. Natural Language Processing with Python
15. Web Scraping with Python: Collecting Data from the Modern Web
16. R in Action: Data Analysis and Graphics with R
17. Practical Data Science with R
18. Building Data Science Team
19. Advanced Analytics with Spark: Patterns for Learning from Data at Scale
20. Python for Finance: Analyze Big Financial Data
21. Think Bayes
22. Data Driven
23. The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
24. Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
25. Introduction to Machine Learning with Python: A Guide for Data Scientists
26. A First Course in Design and Analysis of Experiments
27. Mining of Massive Datasets
28. Deep Learning: A Practitioner's Approach
29. D3 Tips and Tricks: Interactive Data Visualization in a Web Browser
30. The Art of Data Science
Источник: https://goo.gl/iuK2zN
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