Course description

This course covers the theory and 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 baseball analytics are analyzed and better understood with current and historical baseball data. The course also serves as an 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 and the R language are covered.

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Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Price
Free*
Registration Deadline
Available now