Advanced Statistical Modeling
edX
Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.
More resources on Statistical Modeling
Distill.pub
Peer-reviewed web journal of machine learning explanations, publishing interactive articles on topics like feature visualisation, attention and neural network interpretability. Archive remains readable, though the journal went on indefinite hiatus in 2021 and no longer publishes.
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.
Statistical Learning
Learn statistical modeling with Stanford's "Statistical Learning" course. Build predictive models and understand key concepts.
StatQuest: Linear Regression Clearly Explained
Josh Starmer walks through fitting a line by least squares, then explains R-squared and the p-value for the fit using simple visuals. Good for building intuition before meeting the algebra of regression.
Statistical Learning
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.
r-statistics.co
R-Statistics.co is a practical, example-driven guide to learning statistics with the R programming language. It provides tutorials, explanations, and ready-to-use R code across topics from descriptive statistics to regression, hypothesis testing, and data visualization.