RESOURCES

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Programming Resources

Please do not fret if you do not know where to start! Look down below to see if any of these resources are useful.


To perform your analysis, we suggest you use Python or R. The resources below should allow you to get started in either language. 

You can also use any tutorials that you find online, along with tools like GitHub and Stack Overflow. Please email us if you find any good tutorials.
​

In addition, we suggest you to check out https://jupyter.org (Jupyter Notebooks).

Python

  • https://jakevdp.github.io/PythonDataScienceHandbook/
  • https://data36.com/python-for-data-science-python-basics-1/
  • https://realpython.com/python-json/​​​

R

  • https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
  • https://www.statmethods.net/r-tutorial/index.html

Sports Analytics Resources


NBA

  • ​https://github.com/basketballrelativity/py_ball​
  • https://github.com/abresler/nbastatR
  • https://github.com/msjsac/NBA-Player-Movements

NFL

  • https://github.com/maksimhorowitz/nflscrapR
  • https://github.com/derek-adair/nflgame
  • https://github.com/nfl-football-ops/Big-Data-Bowl

MLB

  • ​https://github.com/rippinrobr/baseball-stats-db
  • https://baseballsavant.mlb.com/statcast_search
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  • Home
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