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advancedData Analysis

Design and validate the telemetry system that feeds every decision

For engineers and data leads who need to specify, build, calibrate, and maintain the sensor-to-screen pipeline that turns raw vehicle signals into actionable insight.

7 hours24 lessons0 enrolled
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Course Outline

Module 1: Choose the right sensor for every signal

Translate engineering requirements into sensor specifications, mounting strategies, and channel budgets.

Module 2: Sample fast enough without drowning in data

Master sampling theorem, anti-aliasing filters, and logger configuration so the digital record faithfully represents the analog world.

Module 3: Trust the numbers on the screen

Calibrate sensors, quantify uncertainty, and build an error budget so the team knows how much faith to place in each channel.

Module 4: Build the math channels that turn raw data into insight

Create derived channels—slip angle, tire load, aero balance, driver-demand indices—that compress raw signals into engineering meaning.

Module 5: Stitch laps and align traces so comparisons are fair

Handle GPS drift, distance-base conversion, manual nudge, and automated alignment so overlay comparisons are precise and repeatable.

Module 6: Get data off the car and into the engineer's hands

Design telemetry links, real-time dashboards, and storage architectures that balance bandwidth, latency, and reliability.

Module 7: Integrate the full pipeline and keep it running

Bring sensors, logger, telemetry, and software together into a reliable system, then diagnose and repair faults under pressure.

Module 8: Look ahead to the next generation of telemetry

Survey emerging sensor technologies, AI-driven analysis, and regulatory trends that will shape telemetry systems in the next decade.

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