Python for Data Analysis is written by Wes McKinney, the creator of pandas, and it's free to read online in its third edition. It teaches the tools you'll use every single day — NumPy arrays, pandas DataFrames, grouping, reshaping, time series, and basic plotting — with realistic examples rather than toy ones. Read it alongside a Jupyter notebook and retype the examples on a dataset you care about. It's not a statistics book, so pair it with the Statistics feed once you're comfortable.
Data Science
Cleaning, analyzing, and communicating data with Python or R.
Picks
The A/B testing reference from Microsoft, Google, and LinkedIn veterans. Essential for product analysts.
Causal inference for people who need answers, not correlations. Free online and very readable.
A free cohort course on pipelines, warehouses, and orchestration. Where analysis meets infrastructure.
Math, statistics, Python, and ML in one package. Breadth over depth, at a modest price.
A Python-first alternative to Google's certificate, with more machine learning toward the end.
A new real dataset every week. Practise analysis and share results with a friendly community.
NumPy, pandas, Matplotlib, and scikit-learn in one free, clear, and complete book.
Cole Nussbaumer Knaflic on charts that persuade. The blog and practice exercises are free.
NumPy, pandas, and visualization projects checked by automated tests. Free certification included.
Ten R-based courses ending in a capstone. Old-school, rigorous, and still respected.
Rafael Irizarry's R-based program. Strong on inference, modeling, and reproducible analysis.
Hadley Wickham's tidyverse book. If you choose R, this is where to begin.
Short seaborn exercises that get you making sensible charts quickly.
Spreadsheets, SQL, Tableau, and R with a career focus. Recognized by many entry-level employers.
A few hours of hands-on exercises. The quickest way to get comfortable with DataFrames.
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Providers in this feed
Coursera · DataTalks.Club · edX · freeCodeCamp (BSD 3-Clause) · Jake VanderPlas · Kaggle · Kohavi, Tang & Xu · R4DS Online Learning Community · Scott Cunningham · Storytelling with Data · Udemy · Wes McKinney · Wickham, Çetinkaya-Rundel & Grolemund
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