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Professional Improvement
IoT with Data Science
Modalities
Instructor-Led Training (ILT)
Virtual Instructor-Led Training (VILT)
No of Training Days
3
Training Fees
RM2,900 - RM3,100 / pax
Exam Code
No
Overview
The Internet of Things (IoT) is rapidly changing the world, and the ability to process large amounts of data generated by IoT devices is critical to understanding and leveraging their potential. In this course, you will learn how to combine the power of IoT with data science techniques to gain insights and make informed decisions.
The course will begin with an introduction to IoT and its various components, including sensors, devices, and gateways. You will learn how to collect, store, and process data generated by IoT devices, using popular IoT platforms like Arduino and Raspberry Pi.
You will then be introduced to data science techniques, including data analysis, machine learning, and data visualization, and learn how to apply these techniques to IoT data. You will explore how to use statistical models to analyze and predict patterns in IoT data, and how to visualize these patterns to gain insights.
The course will also cover the challenges associated with working with IoT data, including data security and privacy concerns, and strategies for mitigating these risks. You will learn how to create a secure IoT infrastructure and how to implement best practices for data security.
At the end of the course, you will have gained a solid understanding of how to combine IoT and data science, and how to leverage these technologies to make informed decisions and gain insights into complex data sets.
Prerequisites
Basic knowledge of Python programming language, data science and data analysis.
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