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DATA 3500 [0.5 credit] Statistical Programming in R


Modern coding practices in R including running simulations, workflows for common statistical models, retrieving diagnostics and model estimates, and presenting and visualizing results. Emphasis on modern, reproducible workflows and version control.
Prerequisite(s): DATA 2500.
Lectures three hours a week, laboratory one hour a week.

Biology

Undergraduate Calendar

http://calendar.carleton.ca/undergrad/undergradprograms/biology/

...3001 , TSES 3002 , TSES 3500 , TSES 4001 , TSES...Biology, Chemistry, Computer Science, Data Science, Earth Sciences...