R and Statistics

1.5 units

This course introduces students to the fundamentals of R programming with a focus on statistical analysis and modeling. Students will develop practical skills in R by working with arithmetic and logical operators, vectors, data structures, and control statements (e.g., if statements, loops, and functions). The course covers probability, inferential statistical methods, and linear regression, with emphasis on preparing and analyzing datasets for data-driven decision-making. By framing learning around key questions ranging from understanding R syntax and functions to applying regression models, students gain both conceptual knowledge and hands-on experience. By the end of the course, students will be equipped to use R for statistical analysis, data manipulation, and modeling in business and analytics contexts. Students may not earn credit in both DAT 5570 and 6570.