DATA-413 Data Science (3)

State of the art computational tools for data science. This course builds on the R/tidyverse programming skills developed in DATA-412 for the collection, organization, analysis, interpretation, and presentation of data. Possible topics include version control, web scraping, text mining, web application development with R Shiny, big data manipulation, R’s statistical modeling functions, and dimensionality reduction and clustering for data exploration. Crosslist: DATA-613. Usually Offered: fall, spring, and summer. Prerequisite: DATA-412.