The Definitive Guide to Data Analytics Training Series – Session 6: Introduction to Data Science
In this session, we’ll provide an introduction to data science by walking through the creation of a college football prediction model, using linear regression and random forest algorithms. After downloading the files below, you should be able to follow along and build your own college football prediction model alongside the video.
Here are the files used in this lesson:
- College Football Games.xslx Excel dataset
- College Football Game Prediction.ipynb Jupyter Notebook file
- PowerPoint walking through how to install Anaconda / Python / Jupyter
If you need help troubleshooting code, project advice, or personalized career advice, consider booking a 1-hour analytics consultation with an analytics expert. You’ll be amazed by what we can accomplish in just 1 hour!
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