Introductory R for Data Science
Simon Fraser University · BC · STAT260
Introductory R for Data Science is a subject at Simon Fraser University, BC in Statistics. It covers topics like data-analytics, data-mining, data-science, statistical-computing. It is part of 4 degrees. The information below is compiled from public course material — approximate, not official.
Simon Fraser University
STAT260
3.00
Statistics
Topics covered
Degrees that include Introductory R for Data Science
- Business and Economics Joint Honours
- Data Science in Physics
- Social Data Analytics Minor
- Statistics Minor
Frequently asked questions
What is Introductory R for Data Science about?
Introductory R for Data Science covers topics like data-analytics, data-mining, data-science, statistical-computing.
Which degrees include Introductory R for Data Science?
Introductory R for Data Science is part of 4 degrees, including Business and Economics Joint Honours, Data Science in Physics, Social Data Analytics Minor, Statistics Minor.
How many credit points is Introductory R for Data Science?
Introductory R for Data Science at Simon Fraser University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introductory R for Data Science taught?
Introductory R for Data Science is taught at Simon Fraser University, BC.
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Sources: Simon Fraser University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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