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Nov 07, 2024
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MATH 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): (CMSC 104 or CMSC 110 or ITAN 240 or ENGR 110 or ENGR 120 or SWEN 100 ) and (MATH 117 with minimum grade of C MATH 117A with minimum grade of C or MATH 217 with minimum grade of C or SCMG 200 with minimum grade of C or MATH 375 with a minimum grade of C) Category: Natural World & Technology - T
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