My Learning Resources

My favorite learning resources, mostly free and carefully chosen! 🎁

I’d recommend you give a try to the resources and find the best one to stick with — it’s up to you.

To learn the basics — the foundational concepts, then compare different resources and check if the content is any good.

Math and Statistics

• Linear Algebra — MIT 18.06
• Introduction to Probability — John Tsitsiklis
• Think Stats — Allen B. Downey
• Bayesian Methods for Hackers — Cameron Davidson-Pilon

Data Science

• An Introduction to Statistical Learning (Solutions) — Essential
• The Elements of Statistical Learning (Solutions) — Extremely useful
• Advanced Machine Learning Specialization on Coursera — A deeper understanding

Practical Data Science

• Executive Data Science — Leanpub

Computer Science

• The Missing Semester of Your CS Education — MIT
• Algorithms, 4th Edition — Princeton
• Visualising algorithms through animation

SQL

• SQL Tutorial — W3Schools interactive training, recommend
• SQLZOO — Practice tasks and quizzes to boost learning

Python/R

• Learn x in y minutes (X=Python)
• Automate the Boring Stuff with Python
• Python for Data Analysis
• Python Data Science Handbook
• R for Data Science

Deep Learning

• Deep Learning book
• The fastai book
• Practical Deep Learning for Coders
• Dive into Deep Learning
• Deep Learning Specialization on Coursera

Sites/News

• Kaggle — Home for Data Science
• Towards Data Science — A Medium publication
• Class Central — Search engine and reviews site for free online courses
• KDnuggets
• Analytics Vidhya
• DataTau — The “Hacker News” of Data Science
• HACKERNOON#data-science
• Google News Data Science

Cheat Sheets

• Statistics — MIT (PDF)
• Probability — William Chen (PDF)
• Data Science — Datacamp (PDF)
• MySQL, PostgreSQL — Database Star (PDF)
• Git — GitHub (PDF)
• Bash — Devhints (HTML)
• Regex — RexEgg (HTML)
• Markdown — Live demo (HTML)
• HTML — Digital (HTML)
• Glossary — Terms in Data Science (HTML)

If you find the list helpful, feel free to bookmark it, which will be continuously updated!