STAT 463

Spring 2026 Part of Term 1

Part of Term 1
Jan 20-May 6

Baseball Analytics: Data Science and Statistical Modeling with Baseball Data

SHOW FINAL EXAM SCHEDULE

Credit: 3 OR 4 hours.

Statistical and data science techniques for baseball analytics, focusing on player evaluation, performance metrics, and modeling team wins. Emphasis is placed on data transformation, visualization, and predictive modeling. While baseball is the primary case study, the quantitative methods taught are broadly applicable to data science, business analytics, and performance evaluation across industries. A background in baseball is not required.

3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 385, STAT 425, and STAT 410.

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STAT 463 class schedule data for spring 2026
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	78153	Lecture	DEG	12:30PM -1:50PM	TR	2039 Campus Instructional Facility	Eck, D	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
	78154	Lecture	DEU	12:30PM -1:50PM	TR	2039 Campus Instructional Facility	Eck, D	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 3 hours Restriction(s): Restricted to Undergrad - Urbana-Champaign.