Try my new interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp: https://www.datacamp.com/courses/fundamentals-of-bayesian-data-analysis-in-r
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This is part three of a three part introduction to Bayesian data analysis. This last part aims to gives some pointers to *how* Bayesian data analysis can be done in practice. If you haven't watch part one and part two, I really recommend that you do that first: https://youtu.be/3OJEae7Qb_o
Links from the video:
How to install Stan: http://mc-stan.org/interfaces/
Stan cheat sheet: https://goo.gl/BmvSqM
R exercise: https://goo.gl/cuKzpD
Python exercise: https://goo.gl/Nm6naZ
Bonus Exercise: https://goo.gl/hRDAIE