Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Become an F1 Performance Engineer: Data Interpretation
New
1 students

Become an F1 Performance Engineer: Data Interpretation

Learn how Formula 1 & professional motorsport engineers analyse telemetry, interpret data, evaluate driver performance
Created byClive Crewe
Last updated 6/2026
English

What you'll learn

  • Gain understanding / appreciation of Data logging/analysis systems
  • Performance engineering Data Analysis Interpretation
  • Driver in the loop analysis
  • Equip you with knowledge to super charge a potential career in this field

Course content

1 section11 lectures3h 2m total length
  • Introduction10:35
  • System Selection28:05
  • Maths12:43
  • Visualisation19:34
  • Analysis20:21
  • Dynamics32:24
  • Traction21:13
  • Braking14:47
  • Conclusions4:23
  • Quiz7:21
  • Performance Engineer11:15

Requirements

  • No prior knowledge required, but technical aptitude is essential

Description

Turn Raw Data into Race-Winning Performance

Have you ever wondered how Formula 1 teams uncover those last crucial tenths of a second? How race engineers diagnose handling problems, optimise vehicle setup, and transform telemetry data into faster lap times?

This course provides a practical, engineer-focused introduction to Motorsport Data Analysis and Performance Engineering, taking you inside the techniques used by professional race teams to understand vehicle performance, driver behaviour, and chassis dynamics.

The course goes far beyond simply reading graphs. You will develop the mindset of a professional performance engineer, learning how to ask the right questions, isolate root causes, and convert complex data into actionable engineering decisions. Through step-by-step worked examples, you will learn how to analyse corners, compare drivers, evaluate vehicle balance, optimise racing lines, and identify opportunities for lap-time improvement.

Whether your ambition is to work in Formula 1, GT racing, endurance racing, Formula Student, rallying, or high-performance automotive engineering, the skills taught in this course form the foundation of modern motorsport performance analysis.

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

• Understand the role of data acquisition and telemetry systems in motorsport

• Interpret professional motorsport data channels and engineering plots

• Analyse driver performance using speed, throttle, brake and steering overlays

• Identify understeer, oversteer, traction and braking limitations from telemetry data

• Evaluate vehicle balance and chassis behaviour throughout a lap

• Understand the engineering principles behind cornering, braking and acceleration performance

• Perform structured lap-time analysis used by professional race engineers

• Compare multiple drivers and identify performance differences objectively

• Apply data-driven methods to improve vehicle setup and driver performance

• Build skills directly relevant to motorsport engineering and vehicle dynamics careers

No prior motorsport experience is required. The course begins with the fundamentals before progressing to advanced race engineering techniques used throughout professional motorsport.

If you are passionate about motorsport, vehicle dynamics, data science, engineering, or Formula 1, this course will provide the practical knowledge and analytical skills needed to understand what truly makes a racing car fast.

Stop looking at telemetry graphs as lines on a screen. Learn how to read the story they tell—and discover how race engineers find performance where others cannot.

Who this course is for:

  • Control system engineers, Automotive engineering graduates, Professionals , Students and researchers working on racecar simulation and software