IS 445

Spring 2021 Part of Term 1

Part of Term 1
Jan 25-May 5

Data Visualization

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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.

This course satisfies the General Education Criteria in Fall 2022 for:

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IS 445 class schedule data for spring 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	67427	Online	AOG	9:00AM -11:50AM	M	n.a.	Naiman, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Info: Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences or Illinois Informatics Institute department. Restricted to Graduate - Urbana-Champaign.
	67655	Online	AOU	9:00AM -11:50AM	M	n.a.	Naiman, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Degree Notes: ONL Info Science rate course. Credit: 3 hours Section Info: “Restricted to Information Sciences majors until 1/18/21 by noon. INFO Minors will be able to register starting 12/11/20 by noon. For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. We will not provide overrides, please wait until the course restrictions are removed. Questions may be sent to ischool-is@illinois.edu” Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.