IS 445

spring 2022

All Classes

Data Visualization

Credit: 3 OR 4 hours.

Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization. Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets.

3 undergraduate hours. 4 graduate hours.

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Detail	Status		CRN	Type	Section	Time	Day	Location	Instructor