Next Steps in Python Workshop Series is a seven-part series covering intermediate Python skills, tips, and tricks guaranteed to make your coding life easier. You do not need to attend each session to participate - there is a new lesson each week.
Each one-hour session meets via Zoom on Wednesdays at noon, CDT.
Bayesian Inference in STAN
In this tutorial, we will walk through the basics of STAN- an open-source software for Bayesian inference. We will build a simple linear regression model in STAN and lightly discuss the advantages of using a Bayesian framework. We will be using STAN with Python, but STAN allows interfacing with R, MATLAB, Julia, Stata, and more.
Prerequisites: Participants should be familiar with Python at an introductory level.