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Master IoT Data Analytics and Indoor Occupancy Analysis with ESP32 and Plotly.
Instructor: HuebitsLanguage: English
This comprehensive course introduces you to IoT data analytics, focusing on environmental data for indoor occupancy analysis. You will learn to interface various sensors (DHT11, MQ135, LDR, PIR) with the ESP32 microcontroller and send data to ThingSpeak for cloud-based analysis. The course includes hands-on projects, including predictive models for occupancy and data visualization with Plotly and Dash. Key topics include data preprocessing, anomaly detection, time series analysis, and machine learning for IoT data. By the end of the course, you will gain practical skills in sensor integration, data analysis, and building real-time dashboards for smart space management.
Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.
Our curriculum is designed by experts to make sure you get the best learning experience.
Interact and network with like-minded folks from various backgrounds in exclusive chat groups.
Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.
With the quizzes and live tests practice what you learned, and track your class performance.
Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.
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