Data Science for Sports

Catalog description

This course covers player/team performance assessment and comparisons using historical and online data. To explore various sports-related data sets, students will learn methods of data cleaning, data visualization, statistical tests, statistical modeling, predictive analysis, and simulation. The focus will be on Tennis, Soccer, Basketball, and Volleyball. Students will learn to code in Python and/or R.