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This course covers the principles of data visualization to create meaningful displays of data and effective presentation of results to engage the audience and facilitate decision making. The course introduces best practices to visualize common data types, charts, and statistical phenomena (e.g., trends, distributions, missing data). Conceptual discussions will be followed by hands-on labs to teach Tableau: a popular data visualization software. No prior programming or data analytics skills are required.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
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*List may not include courses that are on a common table shared between programs.