DATA 413Data Science

Catalog

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. Students apply various methods for interacting with and applying artificial intelligence (AI) tools and their ethical implications. Crosslist: DATA-613. Usually Offered: fall, spring, and summer. Grading: A-F only. Prerequisite: DATA-412.