Course description: Data analysis using statistical models and algorithms (e.g., linear and logistic regression, peeking, bandit, and variable selection algorithms) in case studies from different disciplines. Generative versus out-of-sample predictive models. Reproducible and transparent workflows for computer scripts and reports.
Dates offered:
-
Session time: 2026 Summer
Term: 2
Course outline:
STAT301_outline_summer2026_0.pdf
Instructors: