IoT Data Analytics
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This course introduces data analytics techniques specifically tailored for IoT systems.
It covers IoT data characteristics, data ingestion, preprocessing, storage, analytics methods, and visualization techniques used in smart applications, industrial monitoring, and predictive systems.
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Learning Outcomes:
✔ Understand IoT data types and challenges
✔ Process and clean sensor data
✔ Store and manage time-series IoT data
✔ Apply analytics techniques to IoT datasets
✔ Visualize IoT data using dashboards
✔ Detect trends, anomalies, and patterns
✔ Enable data-driven IoT applications

- Hands-on IoT data analysis sessions
- Real-world sensor data examples
- Dashboard and visualization practice
- Analytics use-case demonstrations
- Completion certificate
- IoT developers and engineers
- Data and analytics learners
- Engineering students & freshers
- Cloud and backend developers
- Smart system designers
- Laptop or desktop
- Basic programming knowledge (Python preferred)
- Basic understanding of IoT systems
- Access to sample IoT datasets or live device data
- 8 Sections
- 8 Lessons
- 4 Weeks
- Introduction to IoT Data Analytics1
- IoT Data Ingestion & Storage1
- Data Cleaning & Preprocessing1
- Exploratory Data Analysis (EDA)1
- Analytics Techniques for IoT1
- Visualization & Dashboards1
- Advanced Analytics & Anomaly Detection1
- Real-World IoT Analytics Use Cases1

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