Introduction to R Programming and Tidyverse

The University of Colorado Boulder, founded in 1876 and set against the Rocky Mountains, is a major research university serving more than 37,000 students with nearly 3,000 international learners. CU Boulder is recognized for academic excellence, expansive research programs and a sustainability-driven campus culture. Students benefit from an array of undergraduate, graduate and professional offerings that encourage innovation across science, engineering, business, arts and humanities.

Research, entrepreneurship and experiential learning are central to the CU Boulder experience, with extensive laboratory facilities, innovation labs and co-op or internship pathways that connect students to industry and civic partners. The university supports cross-disciplinary projects and provides robust advising, career services and student organizations that help translate academic interests into practical outcomes and start-up ventures.

Boulder's outdoor lifestyle and proximity to tech hubs create strong opportunities for networking, recreation and balanced living. International students are supported by dedicated offices for admissions, orientation and visa guidance, making the transition smoother. With a large program portfolio and a campus culture that values sustainability, creativity and collaboration, CU Boulder is well suited to students seeking high-impact research experiences and an active campus community.

This program is a non-degree introduction to R programming and Tidyverse, taught in English, and is suitable for learners from non-STEM backgrounds. It lasts several weeks and helps prepare students for more advanced data science courses. The main advantage is learning to do data analysis in a reproducible manner.

The curriculum covers data visualization and analysis using R and the Tidyverse. Students learn to write clean code and use functions to make their code easy to read and understand. They also learn to use RMarkdown to create documents and reports that execute code and capture thoughts about the data.

After completing this program, students can pursue careers such as Data Analyst, Business Intelligence Developer, Quantitative Analyst, or Data Scientist. They can work in various industries, including finance, healthcare, or technology, and can be employed by companies like Google, Microsoft, or IBM.