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Apr 18, 2024
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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 ) and (MAT 117 with minimum grade of C or MAT 217 with minimum grade of C or SCM 200 with minimum grade of C)
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