In this first of a two-part series, we learn the basics of running and interpreting a Bayesian data analysis in R. The workshop will center on comparing traditional (Frequentist) statistical analyses to “equivalent” Bayesian approaches. We write equivalent in quotes because as we’ll see they’re not really equivalent. For example, a research question that would traditionally call for a t-test requires a different approach using Bayesian statistics. The workshop features very little math and emphasizes application. It is intended for all audiences! However some basic experience using R and some memory of an Introductory stats course will be helpful.