Using Sensors With Your Raspberry Pi

This course on integrating sensors with your Raspberry Pi provides a comprehensive understanding of sensor design, calibration, interface circuits, and signal processing. It is part of a Coursera Specialization and is suitable for beginners with an interest in building sensor-based projects.

• Gain insights into core concepts and techniques for designing and integrating sensors for customized applications.
• Learn about sensor accuracy, precision, and uncertainty in measurements.
• Explore calibration methods, including look-up tables, piece-wise interpolated calibration data, and polynomial fits.
• Understand sensor interface circuits, amplifiers, and methods for reducing noise with spectral filters.
• Delve into signal processing techniques such as time-domain sliding window filters, noise removal, and averaging in Python.

This course is designed to equip learners with the knowledge and skills necessary to work with sensors and post-process data on the Raspberry Pi or other platforms. By the end of the course, participants will be able to apply these concepts to their own sensor projects, enabling them to build highly customized sensors for various applications.