From Raw to Ready: Practical Data Processing and Preparation in R

This hands-on course introduces students to data processing, wrangling, and management using R, focusing on real-world applications. Students will learn to clean, organize, and prepare data for analysis by handling messy datasets, managing missing values, and reshaping data for visualization and modeling. The course progresses from R fundamentals to data wrangling and exploratory analysis. To support learning, students gain free access to Data Camp for the Classroom, an interactive platform with 100+ self-paced courses, expert-led tutorials, and hands-on coding exercises. Open to undergraduates across disciplines, particularly in social sciences, business, public policy, and STEM, this course requires no prior programming experience, only basic quantitative reasoning. By the end, students will confidently prepare datasets for advanced analytics, research, and data-driven decision-making.