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$399.00 Original price was: $399.00.$319.00Current price is: $319.00.
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Turn Data into Insights
Your one-stop shop for sport specific coding in R
The “R for Sport Science” Course
R for Sport Science combines 5+ years of sport science experience at the highest level into a 2 week online course.
I will guide you through each step, teaching you what sport professionals actually use in R. Commit just 2 weeks and you’ll gain all the data analysis coding skills sport scientists need.
Correlations and Linear Regression
Predictive modeling allows you to forecast player performance and analyze the factors influencing sports outcomes. It also allows you to reverse engineer arbitrary scores that companies may utilize (ex: playerload, readiness score, etc.,).
Reverse engineer arbitrary scores using linear regression analysis in R.
You’ll build predictive models to understand what goes into an arbitrary score and evaluate the importance of the variables that contribute to it.
Mixed Effect Models for Individual Athlete Differences
Mixed effect models are powerful statistical tools used to analyze sports data with hierarchical structures, such as repeated measures within players or teams.
Gain insights into modeling player or team performance while considering individual variability and group-level effects.
R for Sport Science – Level 2
Hi, my name is Daniel. As a sport scientist in the NBA with experience spanning from college to professional sports, I want to help you take the next step in your Sport Science journey!
My R journey involved learning from online tutorials, books, mentorship, and extensive troubleshooting of my own code over hundreds of hours. This course condenses all my education and experience to prioritize exactly what you need to know as a sport scientist, ultimately saving you precious time and providing clear directions.
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