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My introductory course on Bayesian statistics


So, after having held workshops introducing Bayes for a couple of years now, I finally pulled myself together and completed my DataCamp course: Fundamentals of Bayesian Data Analysis in R! 😁

While it’s called a course, it’s more like a 4 hour workshop and — without requiring anything but basic R skills and a vague notion of probability — it introduces Bayesian data analysis from scratch. The whole course is done online, coding and all, using DataCamp’s interactive course interface (like Rstudio, but in the browser) and, while you need a DataCamp subscription to do the full course, you can do the first part for free by just signing into DataCamp! If you feel that’s too much of a commitment you have the first two videos in the course right here:

Please try it out and let me know what you think!

Where to go after the course?

As always I recomend either of the following two excelent introductions to Bayesia data analysis:

My DataCamp course roughly covers chapters 1-3 in Statistical Rethinking so you’ll already have a headstart on that one.

Posted by Rasmus Bååth | 2018-12-12 | Tags: R, Statistics, Bayesian