Statistical Computing with R

Undergraduate

Use of R language for data manipulation, graphical exploration, and statistical analyses; Univariate and multivariate modelling with empirical data; Robust methods; Principal component analysis; Model validation; Spatial structure and analysis. Course Format: Lectures, 3 hours per week; Lab, 1 hour per week. Restrictions: Open to Data Sciences and Analytics (DASA/DAFA) majors only Prerequisite(s): STAT 1P98 or permission of the instructor Cross-Listing(s): DASA 3P87 Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Exclusions: Major credit will not be granted to Mathematics majors.