Coding for Sport Analytics

Catalog description

This course is designed to help students analyze and interpret sport data through analytical procedures using programming languages. Students will be equipped with the necessary programming skills and software tools to perform all of the analysis steps, from gathering datasets to entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. Topics include: web scraping and data mining; data wrangling, processing, and integration; data analysis with advanced graphs and data visualizations; and predictive modeling using regression analysis. Students will apply programming languages and analytical procedures to provide solutions to contemporary issues in sport. Prerequisite: SLM 275 .