Course Description: This course is intended to focus on building and understanding the concepts and procedures required to perform Bayesian analysis of real data. Definition of Bayesian statistics; Prior and posterior distributions; Methods for prior determination; Type of prior distributions; Single parameter Bayesian model; Fitting complex Bayesian models; Regression and hierarchical regression models; Model comparison; Model checking; Hypothesis Testing; Application to real data.