Data Technologies

Catalog description

Modern data technologies, including the basics of simulation, resampling, bootstrap, regular expressions, web scraping, XML, data bases and SQL, and the Tidyverse (a collection of R packages for data science) are discussed. Students use unprocessed real-life data sets whenever possible. Additional coursework is required for those enrolled in the graduate-level course.