This is a series of posts on learning how to code using MLB data. They're adapted from my book, Learn to Code with Basketball (which is finished and available for purchase). The material below is basically the first two chapters.
Part 1 is a high level overview of data/analysis and doesn't get into any coding. Parts 2 and 3 cover basic Python, which we'll need to do a lot of the cool stuff later (data, visualization, modeling etc).
More coming soon
I'm working on more free writeups (e.g. on Pandas, scraping websites, SQL, connecting to the NHL API etc) so enter your email if you want to be notified when these come out.
Prerequisites
Intro
Basic Python Programming
Data + Pandas
Coming soon!
Don't hesitate to reach out with any questions or feedback — my email is nate@nathanbraun.com