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Math for Modelers

Math is at the heart of data science



MSDS 400-DL Math for Modelers.

Students learn how to build and interpret mathematical models of real-world phenomena in many areas. The course covers linear algebra, discrete mathematics, calculus and graph theory, with an emphasis on applications in data science and data engineering. It provides an introduction to these fields of mathematics prior to enrolling in courses that assume understanding of mathematical concepts. Prerequisites: None.

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