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Free IOT Data Analytics Course
IoT Data Analytics
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.
IoT Data Analytics
245 learners enrolled so far
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Skills you will gain
IoT
Analytics
Descriptive Analytics
Predictive Analytics
Diagnostic Analytics
Time Series Data
Applications of IoT Analytics
Architecture
Libraries and Tools
Frameworks for IoT Analytics
+5 More
Key Highlights

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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
Stand out with an industry-recognized certificate

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

IoT Data Analytics
2.25 Hours
Beginner
245 learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
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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