MAT 219 - Data Science I Credits: 3

This is the first semester of a two-semester sequence in Data Science. Using real-world examples of wide interest and a popular programming language such as R or Python, we introduce methods for key facets of a data-driven investigation. These include obtaining data from a variety of sources, wrangling the data to get a manageable data set, exploratory data analysis to generate hypotheses and intuition about the data, and communication of results through interpretable summaries that are both transparent and reproducible.

Prerequisite(s): (CSC 104 or CSC 110 or MIS 240 or ENGR 110 or ENGR 120 or SWE 100 ) and (MAT 117B with minimum grade of C MAT 117A with minimum grade of C or MAT 217 with minimum grade of C or SCM 200 with minimum grade of C or MAT 375 with a minimum grade of C)
Category: Natural World & Technology - T