Exploratory Data Analysis

Module 1 introduces learners to R installation, setting working directories, analytic graphics principles, and exploratory graphs using the base plotting system in R. It also includes practical exercises and quizzes to reinforce learning.

Module 2 delves into the Lattice plotting system and ggplot2, covering topics such as working with colors and practical exercises. It offers in-depth learning through practical exercises and quizzes.

Module 3 focuses on hierarchical clustering, K-means clustering, dimension reduction, and working with color in R plots. Learners engage in practical exercises and lessons to apply clustering techniques.

Module 4 presents case studies on clustering and air pollution, offering practical exercises and a post-course survey to consolidate knowledge gained throughout the course.