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ST 536 – R Programming for Data (3)
Focus on R programming from a data science perspective. Combine tools from the tidyverse set of packages to import, clean, prepare, and visualize data. Master basic data types, writing functions, automating repetitive tasks, and good practices for producing readable, reusable, and efficient R code. 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
F24 | 17686 | 400 | 3 | Staff | Online | Open | 25 | 25 | 10 | 10 | |
Registration Restrictions Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics) | |||||||||||
Class Notes: Does not meet Graduate School's stand-alone requirement. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus. | |||||||||||
F24 | 17715 | 401 | 3 | Staff | Online | Open | 25 | 25 | 10 | 10 | |
Registration Restrictions Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics) | |||||||||||
Class Notes: Does not meet Graduate School's stand-alone requirement. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact department to request syllabus. |
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Currently it's spring term. See academic calendar for our quarter term schedule.
Summer term starts June 24.
Fall term starts Sept. 25.
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