Syllabus

STAT 362 R for Data Science

Department of Mathematics and Statistics, Queen’s University

Course Description:

Introduction to R, data creation and manipulation, data import and export, scripts and functions, control flow, debugging and profiling, data visualization, statistical inference, Monte Carlo methods, decision trees, support vector machines, neural network, numerical methods.

For details, see onQ