STAT 8120
Software for Statistical Learning II
University of Missouri-Columbia · UGRD · Fall 2026
1 section
Catalog description
Study of the application of advanced statistical learning models in Python. Topics include: Generalized linear models, random effects models, and generalized linear mixed models. Nonlinear models will be explored through applications of select deep learning architectures using PyTorch. Credit Hour s : 3 Prerequisites: STAT 8110 or instructor's consent required Recommended: STAT 7520 or STAT 8320 or equivalent
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #missouri_columbia-6032Fall 2026UGRD
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?