Students will learn to implement a substantial statistical analysis project in a programming environment. This will include efficient storage, retrieval and manipulation of data; exploration, visualization, modelling, statistical inference and prediction; coding to support reproducible research, including writing algorithms and conducting simulations; scaling up computation for handling big data.
The R statistical computing environment will be used for a substantial portion of the course.
Prerequisites: Math 2213/2223 or 2233/2243. Experience with computer programming and R are an asset.
Course outline (pdf)