INF 385T.5 - Data Mining


A hands-on introductory overview of the applications, methods, tools, and technologies that constitute data science and data mining. Fundamentals of Python and R programming languages and relevant libraries. A semester project applying the learned methods and technologies to a specific dataset.

Three lecture hours for one semester.

Information Studies 385T (Topic: Data Mining) and 385T (Topic 5) may not both be counted.

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