This course is to provide students with a comprehensive introduction to data visualization techniques. These techniques are taught in theoretical and technical learning. At the same time the students are learning the algorithms and methods, they have to make practice to learn how to visualize various kinds of data types, by using available software tools and/or programming.
Intended Learning Outcomes
CILO-1: Ability to describe the fundamental concepts and practices of data science involving data analysis and data visualization.
CILO-2: Ability to identify different data science methods and techniques for real-life projects.
CILO-3: Ability to utilize appropriate data analysis and data visualization tools for practical purpose.
CILO-4: Ability to draw conclusion and formulate hypotheses from data collected and visually presented.