CLRES 2038 - R PROGRAMMING ESSENTIALS FOR DATA SCIENCE

Minimum Credits: 1
Maximum Credits: 1
This introductory course aims to provide students with a solid foundation in using R for data analysis and visualization in the context of data science. Students will gain hands-on experience with R programming, data manipulation, exploratory data analysis, and basic statistical techniques. The course will consist of a combination of lectures, interactive coding sessions, and practical exercises to ensure that students can apply their knowledge effectively. The focus will not be theoretical underpinnings of the analytical methods, but rather how to use R as a programming tool. No prior R programming experience is required, but experience in using other statistical packages may be helpful.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis

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