Bayesian Statistics: Priors, Posteriors and PyMC

An opinionated introduction to bayesian methods. Where there is a real trade-off, the course explains both sides and tells you which one it would choose and why. Worked examples come with the mistakes left in — you will see what breaks, why, and how it gets diagnosed. You finish with a portfolio piece, a set of reference notes, and a clear sense of what to learn next. Part of the Data Science catalog at San Uni Academy.