Internship← Internet of Things (IoT) learning pathInternet of Things (IoT) · Module 7 of 10
Data, analytics and AI
Turn sensor data into decisions.
📖 Key ideas
- Clean noisy sensor data (filters, averages).
- Visualise trends and thresholds.
- Trigger alerts when values cross limits.
- Predictive maintenance uses ML to forecast failures.
- TinyML runs small ML models on microcontrollers.
💡 Real-life example: IoT analytics is a weather station turning raw readings into "carry an umbrella" advice.
Threshold alertAlert when a value crosses a limit
Moving averageSmooths noisy data
Predictive maintenanceForecasting equipment failure
TinyMLMachine learning on microcontrollers