Athlete Monitoring: Data Analysis and Visualization

In the Athlete Monitoring course, we will build things from the ground up. You will learn different data types, different data formats, their pros and cons, how to aggregate and smooth the data, and much more.
Mladen Jovanović · February 10, 2025

Format: 26 self-paced, video-based modules
Language: English
Access: Lifetime access upon purchase

From Raw Data to Real Decisions

Athlete monitoring goes far beyond flashy graphs and dashboards. It’s about collecting, preparing, and interpreting data so you can make informed coaching decisions. That means handling messy values, understanding metrics, choosing the right analysis, and knowing how to turn numbers into action.

In this course, we’ll start from the ground up. You’ll learn:

  • Different data types and formats, and when to use them
  • How to aggregate, smooth, and visualize data
  • Tools and workflows in Excel and the open-source R {athletemonitoring} package
  • How to build dashboards and apply dose–response models with the {dorem} package

Whether you’re a coach, scientist, or simply someone collecting athlete data, this course will give you both the knowledge and the tools to use right away.

What are you waiting for? Sign up, grab a coffee, and let’s dive in!

About Instructor

Mladen Jovanović

Mladen Jovanovic is a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which he considers his home town). He was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Email | LinkedIn | Twitter | Facebook

5 Courses

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Course Includes

  • 26 Lessons

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