Sports Analytics Using R – April 2026

Event Phone: 1-610-715-0115

Details Price Qty
Regular Admissionshow details + $995.00 USD  ea 

Upcoming Dates

  • 28
    Apr
    Sports Analytics Using R
    9:00 AM
    -
    2:30 PM
Cancellation Policy: If you cancel your registration two weeks or more before the course is scheduled to begin, you are entitled to receive your choice of either a credit for a future seminar (which can be applied toward any of our courses) or a refund of the registration fee (minus a processing fee of $50). 
In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 3-Day Livestream Seminar
Taught by Phil Barter, Ph.D.

A Practical Introduction for Analysts, Coaches, and Researchers

This course introduces you to the fundamentals of sports analytics using R. We will focus primarily on creating effective data visualizations that lead to actionable insights. Designed for both beginners and those with some experience as analysts, the course focuses on practical skills for sourcing, cleaning, visualizing, and presenting sports data through interactive dashboards.

Throughout the course, we will work with real-world sports datasets to apply skills in a practical context. By transforming raw data into meaningful visualizations and interactive dashboards, you’ll be equipped to communicate insights clearly and effectively to diverse audiences. Whether presenting to coaches, performance analysts, or fans, the emphasis will be on tailoring visual outputs to ensure accessibility and impact, ultimately supporting data-driven decision-making and performance enhancement.

By the end of this course, you’ll be able to:

    • Import and clean sports datasets from various sources.
    • Identify and correct common data issues.
    • Create compelling visualizations using ggplot2 and other R packages.
    • Build interactive dashboards using Quarto.
    • Customize dashboards for different audiences (e.g., coaches, analysts, fans).

Venue: