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Sep 07, 2024
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CIS 3430 - Data Science I
Credit(s): 4
This course introduces the core concepts of data science. The emphasis is on outcomes of the application of data science to broad problems.
This course highlights exploratory analysis to define problems and goals; application of statistics to knowledge discovery by way of general techniques in data science, such as classification, clustering, regression analysis, and association rule mining; and techniques to generate contextualized models in a variety of domains. This course uses the statistical programming language R for analyses.
Offering Location: Johnson Campus
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