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ST 537 – Data Visualization (3)
Perceptual principles for displaying data; critique and improvement of data visualizations; use of color in visualization; principles of tidy data; strategies for data exploration; select special topics. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
Sp25 | 53044 | 400 | 3 | McLaughlin, K. | Online | Open | 25 | 25 | 10 | 10 | |
Registration Restrictions Enforced Prereqs: ST 512 [C] or ST 517 [C] or ST 552 [C] Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics) Recommended: Familiarity with linear regression and using R | |||||||||||
Class Notes: Data Analytics majors should register for section 401. [ Textbooks] | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) | |||||||||||
Sp25 | 54614 | 401 | 3 | McLaughlin, K. | Online | Open | 30 | 30 | 10 | 10 | |
Registration Restrictions Enforced Prereqs: ST 512 [C] or ST 517 [C] or ST 552 [C] Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics) Recommended: Familiarity with linear regression and using R | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) |
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