IS 470 - Sports Analytics

(3.00 cr.)

Big data continues to dominate the world of professional sports as exemplified by the movie Moneyball, which showcased the innovative use of data by the Oakland A's baseball franchise. This course examines the use of data in a variety of professional sports including football, basketball, baseball, and soccer. Students use statistics and coding languages, such as R and Python, to dissect a variety of data forms. When possible, students use their skills to participate in the NFL Big Data Bowl competition in January each year. Prior coding experience is essential for this course as is a basic knowledge of statistics and an ability to communicate complex results to a professional audience.

Prerequisite: EC 220 or ST 210 , IS 352 or CS 151 or ST 310 .
Restrictions: Restricted to juniors and seniors.

Sessions Typically Offered: Fall
Years Typically Offered: Annually

Interdisciplinary Studies: DS