Introduction to Sports Analytics

Catalog description

An introductory course in sports analytics with a focus on using the R programming language. Students will learn fundamental concepts, techniques, and tools used to analyze sports data, evaluate player performance, optimize game strategies, and make data-driven decisions in sports management. Throughout the course, we will conduct exploratory data analysis, correlations, ANOVA, regression models, as well as non-parametric statistical models commonly implemented in pro sports. Prerequisites: MATH 403 - Intro to Mathematical Statistics or MATH 303 - Intro to data science or similar courses with grade of “C” or better.