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DataCamp – Exploring Pitch Data with R No ratings yet.

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DataCamp Exploring Pitch Data with R

Created/Published/Taught by:
Brian M. Mills
Nick Carchedi
Jeff Paadre
Tom Jeon

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Free? Partially: Some Free Content, Some Paid

Cost Range:
$0.00 - $29.00

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From DataCamp:

“This course is a case study in baseball analytics, exploratory data analysis, and the R language. It introduces a rich baseball dataset from Major League Baseball’s (MLB) Statcast system to develop skills in baseball analytics using the R language.

Throughout the course, you will use data on every pitch thrown by Zack Greinke during the 2015 MLB season. These data include information about pitch velocity, pitch type, pitch location, exit speed when the batter makes contact, the game situation (e.g. outs or ball-strike count), and the outcome of each pitch (e.g. strike, foul, home run, or walk).

By the end of the course, you will have a thorough understanding of the data and be able to create publication quality visuals to communicate what you have found.”

This course consists of four chapters:

  1. Exploring pitch velocities
  2. Exploring pitch types
  3. Exploring pitch locations
  4. Exploring batted ball outcomes

Recommended Prerequisites: none specified; some familiarity with R

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