An introduction to the theory and methods of Bayesian Statistics. Bayes’ Theorem, prior and posterior probability distributions, Bayesian regression, Markov Chain and Monte Carlo methods.
Prerequisite(s)/Restriction(s):MTH 126 is recommended. Course Applies to: Data Analytics, Data Science
