Sabermetrics 101: Introduction to Baseball Analytics - Boston UniversityedX
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This course will cover the theory and the fundamentals of the emerging science of Sabermetrics. We will 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 will be analyzed and better understood with current and historical baseball data. The course also serves as applied introduction to the basics of data science, an emerging field of scholarship, that requires skills in computation, statistics, and communicating results of analyses. Using baseball data, the basics of statistical regression, the R Language, and SQL will be covered. This course was successfully taught on the edX platform as a MOOC in 2014. This course has also been successfully taught at the Experimental College at Tufts University since 2004. Many of its former students have gone on to careers writing about baseball and working in various MLB baseball operations and analytics departments.
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.