STA 300 - DATA VISUALIZATION

College of Arts and Sciences

Credit(s): 3

This course is designed to take advantage of project-based learning in order to teach students to dissect, analyze, and design thoughtful visualizations of data. Specifically, topics covered include principles of graphic design and color theory, human perception and decision- making, methods for designing thoughtful visualizations by hand and with the computer programming language, R, the value of data narratives, and a variety of data types (e.g. continuous and categorical univariate data, times series, spatial data).

Prereq: Students must have completed the UK Coreâ€™s required courses in Quantitative Foundations.
Approved for Distance Learning.