IDC3180 — Contemporary Issues and Case Studies in Data Science
3 credit hour(s) Students will learn base R language concepts, including data types, functions, and packaging, and will work with tidyverse and other packages commonly used in data science applications for data acquisition, analysis, and visualization. Students will develop R applications which use the language for probability and distribution analysis, correlation and linear regression, calculating confidence intervals, and hypothesis testing. Contact: 3 hours.
Prerequisites: COP2073