Statistics with Python
edX (University of Wisconsin-Madison)
University of Wisconsin-Madison course on edX covering descriptive statistics, probability, inference, correlation, and regression, taught with Python. You finish able to summarize data, quantify uncertainty in estimates, and fit and interpret regression models.
More resources on Statistics
Introduction to Probability
Learn the fundamentals of probability with this introductory book by Blitzstein & Hwang. Perfect for statistics beginners!
Think Stats
Learn statistics with Python! Think Stats introduces probability and statistics concepts using real-world examples and computation.
StatQuest with Josh Starmer
YouTube channel by Josh Starmer that explains statistics and machine learning step by step, from p-values, linear models and ANOVA to PCA, decision trees, neural networks and transformers. Viewers build clear intuition for how common methods work before tackling the math.
seeing-theory.brown.edu
Seeing Theory is an interactive, browser-based resource from Brown University that uses visual simulations to explain fundamental probability and statistics concepts. It offers interactive demos and explanations on topics like probability, distributions, sampling, the central limit theorem, confidence intervals, hypothesis testing, and Bayesian reasoning.
OpenIntro Statistics
Learn statistics with OpenIntro Statistics! This free book covers introductory topics with clear explanations and examples.
Statistics Fundamentals
Josh Starmer's video series explaining core statistical ideas, distributions, sampling, p-values, confidence intervals, hypothesis tests, and regression, with hand-drawn visuals and worked examples. After watching, you can interpret common statistical output in data science work.