A weeklong look at Bayesian modeling
Join us July 20–24 from 1 to 4 pm each day for this short intensive course, taught by Dr. Christopher Fonnesbeck, principal data scientist at PyMC Labs and adjoint associate professor of biostatistics at Vanderbilt University School of Medicine.
The course will be held in person at 2525 West End Avenue in Nashville, Tennessee. Registration will open on May 1.
Tuition for this course (in USD)
Regular: $950
Vanderbilt University / Vanderbilt Health faculty and staff: $700
Vanderbilt University / Vanderbilt Health students, trainees, and postdocs: $450
A 20% early bird discount will be applied to regular and employee registrations submitted between May 1 and May 31.
About this course
This course provides a comprehensive introduction to Bayesian statistical modeling using PyMC. Participants will progress from foundational concepts through applied modeling techniques, building practical skills through hands-on coding exercises with real-world datasets. Each session combines conceptual instruction with interactive notebook-based exercises.
Prerequisites
- Working knowledge of Python programming
- Familiarity with basic statistical concepts (e.g., distributions, regression concepts)
No prior Bayesian experience is required.
Preparing for this course
Please see the course README page on GitHub for what to download and set up before July 20. The page also features a detailed schedule for each day of the course.
Details subject to change without notice