This course introduces academics and professional data analysts to Bayesian inference, using the Stan interface in R. The atmosphere of the workshop will be friendly and supportive, with the goal of teaching the basics of Bayesian inference in Stan for academics and professionals alike from diverse backgrounds ranging from industry to research fields such as population health, social sciences, disaster risk reduction, and many more. We will show participants how one can develop and compile Stan scripts for Bayesian inference through RStudio to perform basic parameter estimation, as well as a wide range of regression-based techniques from the simplest univariate linear models to more advanced multivariate spatial risk models. Participants will leave the course with a clear understanding of the Bayesian approach to data analysis and inference, and its applications in a range of fields.