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. Information Studies 385T (Topic: Data Mining) and 385T (Topic 5) may not both be counted. Three lecture hours for one semester.
Prerequisites & course information
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. Information Studies 385T (Topic: Data Mining) and 385T (Topic 5) may not both be counted. Three lecture hours for one semester.
Sources
- Course catalogue ↗2026-2027