STATS 422

Data Visualization

Description: Lecture, three hours; discussion, one hour. Requisites: courses 10, 20, 101A, or equivalent level of discipline. Limited to Master of Applied Statistics students. Study of fundamental methods in data visualization, focusing especially on methods using Tableau, R/shiny, Python/Dash and HTML, and JavaScript for customized R and Python dashboards. Reasonable level of competence in both statistics and computing is required. Letter grading.

Units: 4.0
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Vivian Lew

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