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Introductory R for Data Science STAT 260 (3)
An introduction to the R programming language for data science. Exploring data: visualization, transformation and summaries. Data wrangling: reading, tidying, and data types. No prior computer programming experience required. Prerequisite: One of STAT 201, STAT 203, STAT 205, STAT 270, BUS 232, ECON 233, or POL 201, with a grade of at least C- or permission of the instructor. Students who have taken STAT 341 or STAT 360 first may not then take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Owen Ward |
Sep 4 – Oct 11, 2024: Tue, 2:30–4:20 p.m.
Oct 16 – Dec 3, 2024: Tue, 2:30–4:20 p.m. |
Burnaby Burnaby |
|
| D101 |
Owen Ward |
Sep 4 – Dec 3, 2024: Thu, 6:30–7:20 p.m.
|
Burnaby |
| D102 |
Owen Ward |
Sep 4 – Dec 3, 2024: Wed, 3:30–4:20 p.m.
|
Burnaby |
| D103 |
Owen Ward |
Sep 4 – Dec 3, 2024: Wed, 4:30–5:20 p.m.
|
Burnaby |
| D104 |
Owen Ward |
Sep 4 – Dec 3, 2024: Thu, 4:30–5:20 p.m.
|
Burnaby |
| D105 |
Owen Ward |
Sep 4 – Dec 3, 2024: Thu, 5:30–6:20 p.m.
|
Burnaby |