Beginner
Python for Data Analysis
Wes McKinney (3rd Edition, O'Reilly)
The definitive guide to pandas, NumPy, and the modern Python data stack — written by the creator of pandas himself.
$42.90View on Amazon
Curated for self-learners
Your shortcut to Data Science
Guides, books and ebooks hand-picked to take you from zero to advanced — without wasting months on scattered tutorials.
QUICK GUIDE
Quick Guide To Data Science
Your shortcut into the world of data — a curated roadmap that takes you from raw curiosity to confident practitioner. Practical, opinionated, and built for the way real teams ship today.
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Reference Books
Intermediate
Hands-On Machine Learning
Aurélien Géron (3rd Edition, O'Reilly)
From linear regression to deep neural nets with Scikit-Learn, Keras and TensorFlow. The most recommended ML book of the decade.
$59.90View on Amazon
Advanced
The Elements of Statistical Learning
Hastie, Tibshirani & Friedman
The mathematical backbone behind every modern ML algorithm. Dense, rigorous, and essential for anyone going deep.
$74.00View on Amazon
FREE
Think Stats — Probability & Statistics for Programmers
Allen B. Downey's classic — learn statistics by writing Python code, not by memorizing formulas. Free Kindle edition.
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