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IS 445 AO4 - Data Visualization

Campus: Urbana-Champaign


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. Course Information: 3 undergraduate hours. 4 graduate hours.

Special Instructions:

This is the graduate level hybrid section that meets with IS 445 ACG/ACU and IS 445 AO3. Graduate student questions may be sent to ischool-advising@illinois.edu

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall


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