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. , principal data scientist at and adjoint associate professor of biostatistics at ÌÀÍ·Ìõ University School of Medicine.
The course will be held in person at 2525 West End Avenue in Nashville, Tennessee. Registration is open until July 13.
Tuition for this course (in USD)
Regular: $950
ÌÀÍ·Ìõ University / ÌÀÍ·Ìõ Health faculty and staff: $700
ÌÀÍ·Ìõ University / ÌÀÍ·Ìõ Health students, trainees, and postdocs: $450
ÌÀÍ·Ìõ 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.Ìý
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 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