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Data Visualization

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).

Prefix:
STA
Course Number:
300
Credits:
3.0