This training on Bayesian statistics offers an in-depth exploration of both the theoretical framework and calculation methods in Bayesian statistics. Practical sessions with Jasp and Python will facilitate understanding and application of Bayesian inference. Finally, more advanced topics will be discussed.

This training presents the basics of Causal inference. how to create directed acyclic graphs and how to evaluate them to find unbiased effect. A processing string will be implemented using Python.