Managing, Describing, and Analyzing Data

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 course called Managing, Describing, and Analyzing Data, offered by the University of Colorado Boulder. It's for individuals who want to learn the basics of understanding and working with data. The course lasts several weeks and helps students make correct decisions by correctly classifying data.

The curriculum covers descriptive statistics, graphical and numerical data description, and probability distributions using R software. Students will analyze data sets and learn about sampling error, sampling distributions, and errors in decision-making. They will also get hands-on experience with data analysis and interpretation.

After completing this course, students can pursue careers as Data Analysts, Business Intelligence Developers, Operations Research Analysts, or Statistical Analysts. They can work in various industries, including finance, healthcare, and technology, and for employers such as consulting firms, government agencies, or private companies.