Houston Dynamo Data Analyst and Emory alumni Sean Steffen joins Mike Lewis on this Fanalytics podcast episode where they discuss how to get into the field of sports analytics. Getting your foot in the door can be quite competitive. Sean shares his “non-traditional” journey.
Some background on Sean: In college, he majored in creative writing. From there, he started writing for American Soccer Analysis, a blog that focuses on Major League Soccer. The key to Sean’s success was that he backed up his writing with data and analytics.
The conversation gets a little deep in the weeds and even includes a discussion of the competing programming languages – R and Python. For prospective analysts, Sean recommends learning excel and linear regression. Mike says SQL, R, and linear regression are good starting points to analyze data.
They also talk modern soccer analytics such as the logic and mechanics behind expected goals.
You can reach Sean on Twitter @SeanSteffen or search him on LinkedIn.
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