A free course covering topics such as likelihood estimation, p-values (and p-hacking), effect sizes, Bayes Factors, confidence intervals, and the philosophy of science. Highly Recommended!
A website out of Trinity University that uses actual data from published articles to teach statistical concepts like ANOVA, correlation and regression.
A really cool website out of Brown University that uses interactive visualizations to teach statistical concepts.
An open-access, online introductory statistics book (also good for a quick refresher!) Provides great explanations as well as R-code for simulations.
A helpful (paid) website that provides interactive modules for learning data science.
Helpful Statistics Blogs
Kristoffer Magnusson's blog which discusses statistical topics in psychology and provides fantastic interactive visualizations using R.
A great resource for those interested in Bayes Factors and open science (among other statistical/philosophy of science topics).
A blog by John Krushke for those interested in all things Bayesian.
A blog by Daniel Lakens for those interested in all things frequentist (along with philosophy of science).
A helpful resource for tips and tricks in using R for data science.