DAT 3381: Data Science II (2026-2027)
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A second course in data science and R programming. Continued coverage of the data science workflow, from data acquisition and cleaning to exploration, analysis, visualization, and communication of final results. Topics include iteration, simulation, bootstrap and resampling methods, text as data, and accessing data from different interfaces.
| Spring |
41425 |
5 |
Brian Gill
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M,W,F
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10:30AM-11:50 AM
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03/31-06/04
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Otto Miller Hall 119
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24 of 24 seats open
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Attributes: Upper-Division
Grade Modes: (Default) Normal Grading, Audit
Instructional Methods: Traditional
Note: Full Term
Prerequisites:
MAT 3380: C- or better
OR DAT 3380: C- or better
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