Table of Contents

  1. Necessity of Analytics Across IoT
  2. Up and Running with Data Analytics Fundamentals
  3. Setting Up IoT Analytics Environment
  4. Managing Data Pipeline and Cleaning
  5. Designing Data Lake and Executing Data Transformation
  6. Implementing Descriptive Analytics Using Pandas
  7. Time Series Forecasting and Predictions
  8. Monitoring and Preventive Maintenance
  9. Model Deployment on Edge Devices
  10. Understanding Edge Computing with MicroPython
  11. IoT Analytics for Self-driving Vehicles