STA 362 - Statistical Learning (1)

This course will introduce students to relatively new and powerful statistical techniques used to analyze data. The course will begin with a review of linear regression and an introduction to computer-based variable and model selection methods. Other topics will include classification methods, resampling methods for model-building, non-linear models, and tree-based methods. The computer software program R will be used throughout. Prerequisite(s): STA 202 and DSC 223. Alternate years.