This course provides a rigorous treatment to modern tools in data visualization and analytics. Subjects covered include data management and preparation for various data structures and formats, such as importing and exporting data, merging and joining data sets, and re-shaping, collapsing, or aggregating data for analysis purposes. Students will work with various data examples to create their own interactive data graphics. Students will also learn how to combine data visualization tools with data science techniques, such as cluster analysis and regression trees.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00


Spring 2024 Semester
Course Title Instructor Campus Section Syllabus
Visual Analytics Lizhong Peng, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource