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ST 436 – 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.
Continue to Registration.
Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
F24 | 17670 | 400 | 3 | Howard, E. | Online | Open | 25 | 2 | 10 | 10 | |
Registration Restrictions Recommended: ST 201 or ST 351, experience working with data in spreadsheets or a point and click interface, or familiarity with calculating summary statistics (e.g., mean, median, standard deviation) and reading basic statistical charts (e.g., barcharts, histograms, scatterplots); critical thinking, problem solving, and reasoning skills | |||||||||||
Class Notes: | |||||||||||
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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Currently it's fall term. See academic calendar for our quarter term schedule.
Winter term starts Jan. 6, 2025.
Spring term starts March 31, 2025.