
UdemyThis intermediate course works with large sets of PITCHf/x pitch-tracking data to build batting location charts, combining R for scraping and visualization with MySQL for data storage. It's a practical, end-to-end pipeline rather than an isolated tutorial.
Learners with some existing knowledge of R and ggplot — ideally from the instructor's earlier baseball analytics courses — though the course notes it may be possible to follow along without that background. Paced comfortably, it's designed to be completed in about two weeks.
This course is about working with large sets of PITCHf/x data to create batting location charts. We use R to scrape and visualize the data and MySQL to store the data. The course includes lessons on how to install a virtual Ubuntu machine, how to install MySQL, how to perform basic MySQL administrative tasks, and how to connect R and MySQL.
It would be best if you have some knowledge of R and ggplot. This can be obtained through my previous three courses in baseball analytics. However, it might be possible to follow along without this.
At a relaxed pace, the course should take about two weeks to complete.
Price
This course is free to enrol.
Enrol free on Udemy →Advertisement




More in Business



