You’ve probably heard about Bayesian statistics. Maybe Bayesian statistics were introduced to you as the kind of statistics that cool scholars use, or even as the solution to all statistical problems. The first one is definitely true, the second, of course, depends. Content In this workshop you’ll learn about the main ideas behind Bayesian statistics and how they compare to frequentist statistics. We will discuss what reasons you can have to choose Bayesian statistics, and how to do this in practice. Furthermore, we will consider common pitfalls, the evaluation, interpretation and reporting of results. The workshop will cover both hypothesis testing (with Bayes factors) and Bayesian estimation (with informative priors). You will learn about different software and R packages and receive exercises that can be executed in several packages. Interactive elements will be integrated throughout the workshop. Target audience This workshop is meant for researchers who want to learn about Bayesian statistics in general and how to apply it in practice. Most applications we discuss are longitudinal structural equation models taken from the field of developmental science. The only required prior knowledge concerns your own field of expertise and being able to install software on your computer.