This post is by Aki
We (Aki, Meenal, Santiago, Osvaldo and many TAs) are organizing a free Bayesian Data Analysis course targeted for Global south and other underrepresented groups. We can take 300 students. See more information and the link to the registration form at BDA GSU 2022 website.
The course is based on BDA3 book (free PDF available) and my BDA course at Aalto University. All course material is freely available. The course is supported by Stan governing body, and Eduflow company is supporting us by providing a free license of Peergrade tool.
The course is not the easiest Bayes course, and the registration form requires you to get familiar with the course material and answer a couple of prerequisites questions. The course web page has recommendations for easier books and lectures.
As all the course material is freely available, you can study the course also at your own pace. The benefit of registering for the course and following the common schedule is that you will get help from TAs (many Stan and PyMC developers are helping as TAs, too) and other students.
If you want to be a TA for the course, the course web page has also a link to register as a TA. For a voluntary TA, it is sufficient that you can commit to helping a few hours at least during one of the course weeks.
+1, just popping in to re-emphasise Aki’s point, share this among underrepresented persons who want to learn bayesian statistics or probabilistic programming. Santiago, Osvaldo and me (and other TAs) hope to make this a nice experience where you can do independent projects with some guidance, peer grading and discussions are also encouraged. sign up! https://docs.google.com/forms/d/e/1FAIpQLSfB0M2uJCaFpRzICT4jQhvaDW6DvIYAOcnIYVjfXHi0TtJf2g/viewform
Thanks to all of you for doing this!
The whole thing is amazing, particularly that you are able to support 300 students. I would love to see a post on lessons learned at some point (from course organizers and students who want to share their experiences).
Thanks, Aki, for doing this. I’m teaching a Bayesian data analysis course this semester and find your course materials a great resource and guidance of the BDA book. Highly appreciate your effort. I do have one suggestion of adding Chapter 8 in BDA and related developments such as multilevel regression and poststratification into the core contents. Accounting for data collection in modeling is an important step of the Bayesian workflow, from design to evaluation. Data collection has been missing in most Bayesian courses. But it is a crucial topic.