Advanced Data Analysis: USA Cycling Course

This online course shows how to analyze training and racing data effectively and efficiently to help athletes improve endurance sports performance.

Advanced Cycling Data Analysis USA Cycling Course from Fast Talk Laboratories

Learn how to see the full story in your athlete’s data, without getting lost in spreadsheets or overthinking every metric.

Our online course, “Advanced Data Analysis,” shows you how to go beyond basic charts and numbers to extract meaningful performance insights and guide smarter training. You’ll learn how to:

  • Use WKO dashboards to identify fatigue resistance, performance trends, and phenotype profiles at a glance.
  • Compare long-duration efforts (60–90 minutes) to traditional 20-minute tests to set more realistic thresholds and better prepare athletes for race demands.
  • Spot red flags in data, like rising heart rates at steady power, that reveal overreaching or poor pacing strategies.
  • Understand what AI and machine learning are (and aren’t) capable of, and how to future-proof your coaching practice by using them as powerful assistants, not replacements.

Along the way, you’ll hear insights from Trevor Connor, Ryan Kohler, Tim Cusick, and Dr. Paul Laursen, who break down how elite coaches are adapting to this new era of data-driven training. Whether you’re new to TrainingPeaks WKO or looking to sharpen your analysis with longer efforts and AI-assisted tools, this course helps you see what matters, skip what doesn’t, and make better coaching decisions from day one.

How to Enroll

All USA Cycling courses are offered exclusively through USA Cycling’s online learning management system at learn.usacycling.org.

Questions? Contact Suzy Sanchez, Director of DEI and Membership Programs, at ssanchez@usacycling.org.