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Nov 15, 2024
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MAT 319 - Data Science II Credits: 3 This is the second 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 may include using statistical inference to infer properties of a population, using regression analysis to estimate the relationship among variables, using machine learning to make predictions, and creating interactive data products.
Prerequisite(s): MAT 219 with minimum grade of C and MAT 317 with minimum grade of C
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