Book

Analytics for the Internet of Things (IoT)

There are unique challenges associated with analyzing Internet of Things (IoT) data. This book will turn you into an effective designer of analytics to meet those challenges. You will learn the strategies to optimize the data for analytics through step-by-step approach which is followed throughout this book.

Offered by

Difficulty Level

Intermediate

Completion Time

12h36m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 12h36m total length

1. Defining IoT Analytics and Challenges

2. IoT Devices and Networking Protocols

3. IoT Analytics for the Cloud

4. Creating an AWS Cloud Analytics Environment

5. Collecting All That Data - Strategies and Techniques

6. Getting to Know Your Data - Exploring IoT Data

7. Decorating Your Data - Adding External Datasets to Innovate

8. Communicating with Others - Visualization and Dashboarding

9. Applying Geospatial Analytics to IoT Data

10. Data Science for IoT Analytics

11. Strategies to Organize Data for Analytics

12. The Economics of IoT Analytics

13. Bringing It All Together

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Request Access For Your Organization

Start training your team in minutes!

Related Resources