STATS 2DA3 - An Introduction to Data Science Methods

3 unit(s)

An introduction to R for data science and prediction methods. Topics include an overview of the R ecosystem, interfaces between R and other programming languages, data handling, programming, model building, data visualization, interactive web apps, the general idea of predictive modeling/algorithms, resampling methods for assessing uncertainty (bootstrap and cross-validation), and elementary methods for regression (e.g., k nearest neighbors) and clustering (k means).
Two lectures, one lab; one term
Prerequisite(s): MATH 1B03 and one of MATH 1MP3, COMPSCI 1MD3, PHYSICS 2G03, DATASCI 2G03, PNB 2A03
Antirequisite(s): HTHSCI 1M03