Sabermetrics 101: Intro to Baseball Analytics
Discover the intersection of sports analytics and data science by mastering statistical principles, programming languages, and metrics in baseball analysis.
Discover the intersection of sports analytics and data science by mastering statistical principles, programming languages, and metrics in baseball analysis.
This introductory course explores the emerging field of sabermetrics, combining baseball analysis with data science principles. Students will learn to analyze baseball performance objectively, using statistical methods and data analysis tools. The course covers the fundamentals of data science, including statistical regression, the R programming language, and SQL. Students will work with current and historical baseball data to gain practical experience in data analysis and interpretation. The course also delves into the history of sabermetrics and its impact on modern baseball operations.
Instructors:
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What you'll learn
Understand the fundamentals of sabermetrics and its application in baseball analysis
Learn the basics of data science and how it applies to baseball performance evaluation
Gain proficiency in R programming language for statistical analysis
Develop skills in SQL for managing and querying baseball databases
Apply statistical regression techniques to analyze baseball performance data
Interpret and communicate results of baseball data analysis effectively
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to sabermetrics and baseball analytics, serving as an applied introduction to data science. It covers the theory and fundamentals of sabermetrics, teaching students to analyze baseball performance objectively using statistical methods. Key topics include statistical regression, the R programming language, and SQL, all applied to baseball data analysis. The course explores both current and historical baseball data, providing practical experience in data interpretation and analysis. Students will learn to communicate statistical findings effectively, a crucial skill in both baseball analytics and general data science. The course also covers the history of sabermetrics and its growing influence in Major League Baseball operations.
Fee Structure
Instructor
Baseball Analytics Pioneer Andy Andres Bridges Science and Sports at Boston University
Andy Andres is a Senior Lecturer of Natural Sciences and Mathematics at Boston University's College of General Studies, where he has taught introductory physics and biology for over 15 years. His expertise spans both academia and baseball analytics, having pioneered one of the first college courses in Sabermetrics at Tufts University in 2004. Andres has also served as the Lead Instructor and Head Coach of the MIT Science of Baseball Program. His contributions to baseball analysis earned him the 2012 SABR USA Today Sports Weekly Award for research on Tommy John surgery and pitch fx. Andres's practical experience includes working as a datacaster/stringer for mlb.com at Fenway Park, where he scored Game 6 of the 2013 World Series. With a Ph.D. in Nutritional Biochemistry and Physiology from Tufts University, he brings a unique blend of scientific rigor and sports expertise to his work. Andres has also updated and edited the second edition of Art McGee's book on fantasy player valuation, further cementing his status as a respected figure in both academic and baseball circles.
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