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HomeCOMPLETEDSabermetrics 101: Intro to Baseball Analytics

Sabermetrics 101: Intro to Baseball Analytics

Course Description

This course covers the theory and the fundamentals of the emerging science of Sabermetrics. We discuss the game of baseball, not through consensus or a fan’s conventional wisdom, but by searching for objective knowledge in baseball performance. These and other areas of sabermetrics are analyzed and better understood with current and historical baseball data. The archived version of this course can be viewed on edX.

Sabermetrics Faculty Voices

Course Video

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Course Instructor

Andy Andres

Andy Andres is a Senior Lecturer of Natural Sciences and Mathematics at Boston University College of General Studies, teaching introductory physics and biology for the past fifteen years. He was the Lead Instructor and Head Coach of the MIT Science of Baseball Program, and since 2004 has taught one of the first ever college courses in Sabermetrics at Tufts University. For seventeen years, Andres also taught a Biology Tutorial/seminar in Exercise Science and Physiology to Harvard College Biology majors. He won the 2012 Society of American Baseball Research (SABR) USA Today Sports Weekly Award for his research on Tommy John surgery and pitch fx. Andres has updated and edited the second edition of Art McGee’s classic book on fantasy player valuation, How to Value Players for Rotisserie Baseball. A datacaster/stringer for mlb.com at Fenway Park who scored Game 6 of the 2013 World Series, he has a PhD in Nutritional Biochemistry and Physiology from Tufts University.

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edX is the education movement for restless learners. Together with our founding partners Harvard and MIT, we’ve brought together over 35 million learners, the majority of top-ranked universities in the world, and industry-leading companies onto one online learning platform that supports learners at every stage. And we’re not stopping there—as a global nonprofit, we’re relentlessly pursuing our vision of a world where every learner can access education to unlock their potential, without the barriers of cost or location.

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Active Learning Digital Infrastructure Global Connection Lifelong Learning Mentoring & Advising MOOC Project-Based Learning

Learning Objectives

    • The basics of data science, and how it applies to the study of baseball
    • Fundamentals of R and SQL programming languages
    • How to compute and communicate statistical analysis of baseball data
    • The history of baseball analytics and sabermetrics as a field of inquiry

About DL&I

Digital Learning & Innovation is available to help all Boston University faculty and academic leadership. Contact us at digital@bu.edu.

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