DATA210G
3
3
This course is the foundation for introducing students to key topics in data science, including data acquisition/preparation and exploratory data analysis. Major topics include an introduction to the R programming language and RStudio integrated development environment, working with modern data formats (e.g. XML, CSV, JSON, XLS, XHTML), data import/export (e.g. files, APIs – application programming interfaces – , web sites, databases), finding data to augment analyses, and exploratory data analysis & visualization. Prerequisite: MATH145G/147G or MATH150G/152G or higher. Some prior programming experience is helpful but not required. Fall/Spring semesters
