Bayesian analyses have been increasingly adopted in psychology and linguistics as a replacement (or addition) to traditional frequentist methods. This workshop highlights the advantages of Bayesian statistics to the word processing researcher, by providing both an introduction to its foundational principles and a practical tutorial on estimation and hypothesis testing using the brms R package. The examples build up from simple linear regression to more advanced mixed-effects models and showcase the various aspects of a Bayesian workflow.