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Introduction to Data Science for Sports Analytics
STAT 106

Course Information

Description

A second course in Statistics -- analyzing sports data using data science tools.  Commonly used measures and practices will be introduced to illustrate modern sports analytic thinking.  The course will cover visualizing, analyzing, and modeling data from team and individual sports and other competitive games. Communicating these results to less technical audiences will be a focus.  Modules will include methods for player, team, and coach evaluation; game planning; and decision making.  The course assumes prior statistical and computing knowledge at the Stat 100/102/104 level including the use of R.  No prior knowledge of sports analytics is necessary, but students should have, or be interested in obtaining, a basic understanding of the rules and terminology used in major team and individual sports.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Statistics
Course Component Lecture
Subject Statistics
Grading Basis FAS Letter Graded
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students