PREDICTIVE ANALYTICS I

Undergraduate

This course is an introduction to topics such as predictive model building process in R; problem definition, data visualization, exploratory data analysis, identification of data issues and resolution, and initial model selection; model selection; model validation; communication of results and uncertainties; sample project and report. PREREQUISITE: STAT 3250 and STAT 4280 Three lecture hours per week plus a one-hour lab per week