A Step Towards Introducing Data Analytics and Visualization for Students of Electrical Sciences: An Initiative Through Machine Learning Course

In this paper, we share our experience of introducing data analytics and visualization for students of electrical sciences through Machine Learning course. Typically, electrical science students face challenges in handling and visualizing huge data and its analysis as there is a limited scope in the curriculum. During the discussion with research and development centers of different industries and institutes we found the gap in curriculum, and towards this, we designed the Machine Learning course to introduce data analytics and visualization, and state of art machine learning tool for students of electrical sciences. The course is designed with different levels of exercises and activities to support their learning. Exercises were designed to support conceptual learning and were extended as activities towards solving a given problem. The course project was designed as an extended activity considering problems from online challenges and contests/hackathon towards enhancing their learning beyond the curriculum. The outcome of the course was motivating as industry people appreciated the learning through evaluation.