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F1 Data Analysis : Insights into Race Simulation & Telemetry
Partner: Udemy
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Description: This course addresses a wide range of audience , this includes but is not limited to students new to this field and professionals who already have some experience in the wider automotive field and would like to know how the same concepts are applied in motorsports / F1.This course is primarily taught by Ian Wright whose worked in motorsports for more than 20 years and previously was the Head of Engineering at Mercedes F1 Team. ** Upon completing this course and publishing your certificate on LinkedIn you will receive access to a REAL Data-set from one of the Motorsports team that you can use to practice and build your own race engineering tools** What's this course all about ? Let's begin !!Section 1: Data is the Gold Mine in F1, but WHY?In this opening section, you’ll discover how data forms the bedrock of modern Formula One operations. You’ll learn the fundamentals of data gathering—from transponder technology to in-race sampling—and see how every fraction of a second counts on track. This section also explores the critical role that data plays in ensuring both performance and safety, culminating in a discussion on the real-world challenges of working with vast, fast-paced information streams.Section 2: Know Your Sensors!!Sensors are the eyes and ears of an F1 car, capturing everything from aero forces and temperatures to high-pressure impacts and chassis loads. Here, we demystify sensor technology: how each sensor type works, what data it outputs, and how engineers process this information to fine-tune car setups. You’ll also analyze real-world case studies—like the “Vegas” example—to see how teams leverage sensor data for optimal performance and rapid troubleshooting.Section 3: All Those Squiggly Lines Mean Something!!Telemetry traces may look like random squiggles, but they contain invaluable insights.
Category: Teaching & Academics > Engineering > Data Analysis
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Price: 49.99
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Source: Impact
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