Free IOT Data Analytics Course

IoT Data Analytics

Beginner level 2.25 learning hrs 245 Learners

Learn IoT Analytics to process and interpret device data, time-series data, real-world use cases, architectures, and tools for smarter insights. Enroll in this free IOT data analytics course to build effective IoT solutions.

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About this course

This free IOT data analytics online course discusses how data generated by connected devices can be analyzed to make decisions and come up with insights. You will learn about the categories of IoT analytics, namely descriptive, predictive, prescriptive, and diagnostic, and the steps of data analysis. The course also discusses basics of time-series data, its applications in predictive maintenance and the architecture and design aspects of IoT analytics. You will also get to know about libraries, tools, and frameworks to support the processing of IoT data. You will learn to use the skills you have gained to implement IoT analytics in real-life scenarios and more intelligent data-driven results.

Course outline

Introduction to IOT Analytics

This module will help you explore the definition and unique features of IoT analytics including its various types—descriptive, predictive, prescriptive, diagnostic, etc. You will also discover different IoT analytics stages.

Time-Series Data Fundamentals

In this module, you will learn about time series data, the process by which this kind of data is generated in IoT devices, and the ways to analyse it.

Use Cases

This module focuses on the stages of data analysis to understand where IoT analytics fits in. Different application areas will also be discussed with diving deep into predictive maintenance as a use case of IoT Analytics.

Architecture and Design Consideration

In this module, you will master the different topologies, architectures and design considerations in IoT Analytics.

Tools & Frameworks for IoT Analytics

In this module, you will learn different libraries, tools, and frameworks required for IoT Analytics.

Get access to the complete curriculum once you enroll in the course

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IoT Data Analytics

2.25 Hours

Beginner

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245 learners enrolled so far

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Master in-demand skills & tools

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Who should take this free IOT data analytics training course?

This course is designed for anyone interested in learning how to analyze IoT device data and apply analytics techniques to generate actionable insights for real-world applications.

What will I learn in this free IOT data analytics course?

You’ll learn the types of IoT analytics, including descriptive, predictive, prescriptive, and diagnostic. The course also covers time-series data fundamentals, architectures, tools, frameworks, and real-world use cases.



Do I need prior experience in IoT or data analytics to join?

No, prior experience is not required. Basic familiarity with data concepts can help, but the course explains IoT analytics step by step.

What is the benefit of learning IoT Data Analytics?

The field of IoT Data Analytics is developing rapidly with applications to manufacturing, healthcare, logistics, and smart cities. Studying it will equip you with the knowledge of how to process device data and develop smarter solutions.

What modules are included in this IOT data analytics free course?

The course includes:

  • Introduction to IoT Analytics
  • Time-Series Data Fundamentals
  • Use Cases in IoT Analytics


What are the skills that I will acquire in the free IOT data analytics course?

You will learn how to work with IoT analytics, time-series data, predictive and diagnostic analytics, and architect and work with tools and frameworks in IoT solutions.

How is this course useful in real world applications?

At the end of the course, you will be able to analyze device data, design IoT analytics architectures, and apply insights to use cases such as predictive maintenance and other industry applications.

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