This course covers fundamental principles of analytics applied to sports. In this course, students will be introduced to mathematical and statistical concepts and learn basic programming and coding skills to analyze sport-related data. Students will learn how to handle, code, and analyze large amounts of sport-related data. Specific course topics include the application of analytics in sports related to player performance, team management, operations, marketing, finances, fantasy sports, eSports, among other topics.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00


Summer 2020 Semester
Course Title Instructor Campus Section Syllabus
Intro to Sport Analytics Young Ik Suh, Ph.D. Distance E01 No syllabus available