Daniel Yu – R for Sport Science – Level 1

Master R Coding in 5 Weeks

Learn exactly how sport practitioners code 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 5 week online course.

I will guide you through each step, teaching you what sport professionals actually use in R. Commit just 5 weeks and you’ll gain all the coding skills sport scientists need.

Course Content: R for Sport Science – Level 1

Data Workflow & Wrangling in Sports
Data wrangling is a crucial step in sports performance analysis, allowing you to transform and manipulate raw data into a manageable dataset. This week, you’ll dive into data wrangling techniques using R.

• Set up a cloud server to access and upload your data from.
• Learn and apply the most common strategies for cleaning and preparing data.
• Functions of dplyr package (select, filter, mutate, summarize, and group_by).
• Functions of tidyr package (pivot_longer, pivot_wider).

Descriptive Statistics for Profiling Athletes

• Descriptive statistics allow you to create normative data that can be used for benchmarking players and setting up key performance indicators.
• Learn how to compute descriptive statistics for sports data using R.
• Analyze key performance metrics and compare player or team performance using statistical measures.

Data Visualization for Athlete Trends

• Visualizations play a crucial role in understanding and communicating sports data insights effectively.
• Explore data visualization techniques using the ggplot package in R.
• Create visually appealing and informative plots to visualize sports performance trends and patterns.

R for Sport Science – Level 1

• Step by step video tutorials
• R and RStudio Installation
• Data Workflow & Wrangling Hygiene in Sports
• Descriptive Statistics for Profiling Athletes
• Data Visualization for Athlete Trends
• 4 projects to practice learning

Who am I?

Hi, my name is Daniel Yu. 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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