Thread by @brendankent

Thread: There are a variety of online statistics, computer science, and data science courses that can be audited for free.

Here are a few I'd recommend to those interested in developing a technical skill set for sports analytics ⬇

"Intro to Statistics" from Stanford

Gotta build the foundation!

udacity.com/course/intro-t…

"Introduction to Computer Science & Programming Using Python" from MIT

These days, virtually every job in sports analytics requires some programming experience.

edx.org/course/introdu…

"Statistics with R" from Duke

And you'll probably need to be able to analyze data in either R...

coursera.org/specialization…

"Data Analysis with Python" from IBM

...or Python (it's relatively easy to learn Python if you already know R and vice versa, so I'd recommend picking one to start and branching out from there if necessary)

coursera.org/learn/data-ana…

"Data Science: Visualization" from Harvard

If you can't communicate your findings to non-technical stakeholders (coaches, etc.), your work won't be used. Visualization is an important tool for communication.

edx.org/course/data-sc…

"Machine Learning for Data Science and Analytics" from Columbia

I wouldn't suggest getting into ML until you've covered the above topics first. However, it's becoming increasingly prevalent in sports analytics, particularly WRT tracking data.

edx.org/course/machine…