Our courses are organized into 3 sections: Python Beginner Basics, Data Science Fundamentals, and Machine Learning. If any of the code below looks scary, don't worry - we walk you through each line step-by-step.
You'll learn the basics of Python, including how to set up your coding environment, the basic fundamentals of programming and how to do simple Basketball related analysis.
After learning the basics of coding, we'll teach you core data science concepts applied to Basketball. You'll learn how to import data, clean it, calculate statistics, and create Basketball data visualizations.
Once you have your basic data science skills, we'll teach you how to start using data to predict future Basketball outcomes with statistics and machine learning.
We know that learning to code can be difficult.
That’s why we provide our members with content suitable for every learning style, including videos.
Our videos will walk you through each of our lessons step-by-step. Included in our videos are instruction on how to write code, but also our real-world experience working with Basketball data.
After you purchase one of our courses, we won't just leave you hanging.
With each of our courses, you'll get access to a special Slack channel with hundreds of other course members and ability to chat with your course instructors. Stuck on one of the practice problems? Post a message in the Slack and your question will be answered by another course member or the Fantasy Data Pros team within hours or even minutes.
Our goal is to provide you with the easiest and learning process possible. That means the ability to ask questions and get feedback on your code when you feel stuck.
Don't miss updates on new courses and blog posts! Follow us on github, twitter, and join our discord channel.
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