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Data Science and Analytics for IoT - STD

About The Course

As more and more devices are added to IoT networks, the data generated by these systems becomes overwhelming.

Traditional data management systems are simply unprepared for the demands of what has come to be known as “big data.”

The real value of IoT is not just in connecting things but rather in the data produced by those things, the new services you can enable via those connected things, and the business insights that the data can reveal.

However, to be useful, the data needs to be handled in a way that is organized and controlled.

What Will You Learn?

The program focuses on getting started with “Data Science and Analytics for IoT”. In this course, you will learn how to collect and analyze sensor data. You will learn, data processing and machine learning algorithms for predictive analytics.

Candidates will also focus on the Introduction to ML and Python for ML. Exploring Analytical tools and technologies.

Key Features of the Course

Comprehensive learning of IoT data analytics techniques

Hands-on experience with IoT datasets

Guidance and mentorship from experienced professionals

Enhancing technical skills in working with IoT data

Preparation for a career in IoT analytics and data sciences

Who is eligible for Internships program?

What is the contact for additional queries/questions on Internship Program

If I change my mind, can I discontinue the course and get a Refund?

Yes, Refund can be initiated only within 3 days of enrollment.