Baseball Data Wrangling with Vagrant, R, and Retrosheet

Dive into the world of baseball analytics using real-world data! This course provides a practical introduction to analyzing baseball games with detailed Retrosheet data, leveraging the power of Chadwick software.

You'll learn how to:

• Access and Extract Baseball Data: Master the process of obtaining game-by-game and play-by-play data from Retrosheet using the Chadwick platform.
• Data Filtering with R's dplyr: Refine and filter your baseball data efficiently using the popular dplyr package in the R statistical environment.
• Data Visualization with ggplot2: Create compelling and insightful visualizations of your baseball analytics findings using the ggplot2 package in R.

The course begins with setting up a virtual Linux environment and getting comfortable with the Chadwick software – no prior experience is required for this initial section!

To fully benefit from the course, a foundational understanding of dplyr is helpful. If you're new to dplyr, consider complementing this course with my dedicated course, "Baseball Database Queries with SQL and dplyr".

This course is designed to be completed at a comfortable pace, taking approximately two to three weeks. Unlock valuable insights into baseball performance and trends with this hands-on analytics experience.