Stats 4: Modern & Advanced
The modern shelf. Resampling instead of formulas, priors instead of p-values, and models for outcomes that refuse to be tidy bell curves: counts and categories, time-until-an-event, people nested in groups. Stats 4 collects the methods a graduate reading list simply assumes you know.
Unlike the earlier courses, these twelve lessons stand more independently, so dipping in is encouraged. Reading a paper with a forest plot? Go straight to meta-analysis. Reviewer asked about dropouts? Missing data. Wondering whether to control for that variable? Causal DAGs will change how you draw your study on a whiteboard. The perception-flavored pair at the end (psychometric functions, signal detection) serves the cognitive scientists.
You'll want Stats 3-level regression before most of these. Alongside, the ML & AI course asks what happens when prediction, not explanation, is the goal.