I’ll be teaching remote course again in February and the registration is now open. The material will skew intermediate/advanced, starting with a module on principled Bayesian workflow before taking deep dives into regression modeling, hierarchical modeling, multi factor modeling, and Gaussian process modeling. Although the modules built on top of each other they can also be taken by themselves if there are particular topics that might interest you.
Each module consists of a lecture, exercises demonstrating and exploring efficient implementations in Stan, and a follow up review of the exercises and the course material in general.
If you’re interested in more introductory material, or just want to brush up on your basics, Jumping Rivers will also be teaching introductory courses in RStanand PyStan right before my courses begin. These classes would be great on their own or as preparation for my course.