An Introduction to Data Science Methods

Overview

Introduction to R for data science: data handling, predictive modelling, resampling, and elementary regression and clustering.

Prerequisites: MATH 1B03; and one of MATH 1MP3, COMPSCI 1MD3, DATASCI 2G03, PHYSICS 2G03, PNB 2A03.

Materials

Course materials will be posted here before the term begins.