Nov 11, 2026

2026-2027 Undergraduate Academic Calendar

STAT 3020U – Applied Statistical Methods for Data Science

This course builds on foundational probability and statistical inference (from STAT 2010U) and introduces regression modeling, multivariate methods, generalized linear models, model diagnostics, resampling techniques, Bayesian data analysis, and a little exposure to modern data science approaches (e.g., regularization, model selection). Students will apply methods using statistical software (R, Python, or similar) on real datasets, interpret results, and communicate findings.
Credit hours: 3
Lecture hours: 3
Tutorial hours: 1
Prerequisite(s): CSCI 2000U and MATH 2050U and STAT 2010U
Credit restriction(s): STAT 3010U