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Apr 03, 2026
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STAT 450 - Introduction to R for Data Science
Units: 3
Introduction to the R environment and data analysis. Topics include use of dataframes and lists, importing and exporting different kinds of data files, data wrangling, writing user defined functions, R packages, Regression.
Prerequisites: One of: STAT 110, STAT 303, STAT 310, STAT 315, STAT 330.
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Course Typically Offered: Fall ONLY
Student Learning Outcomes - Upon successful completion of this course students will be able to:
• Understand and apply fundamental R programming concepts: vectors, data frames, logical operators, if-else statements, for loops, and functions.
• Perform relevant transformations of data sets: subset rows and columns; create new columns, or variables, with functions of existing variables; merge data sets that share a common variable.
• Create and interpret meaningful visualizations of data.
• Communicate the results of a data analysis clearly and appropriately to others using reproducible research techniques (R Markdown).
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