University of Colorado Boulder

Modern Regression Analysis in R

Boulder, United States

The Non-degree in Modern Regression Analysis in R at University of Colorado Boulder is a program for international students taught in English.

Introduction

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.

About the Program

Modern Regression Analysis in R is a non-degree program at the University of Colorado Boulder that provides foundational statistical modeling tools for data science. This program is taught in English and takes place over several weeks. The main advantage is that it introduces students to methods, theory, and applications of linear statistical models.

The curriculum covers topics such as parameter estimation, residual diagnostics, goodness of fit, and variable selection and model comparison. Students will also learn about the misuse of statistical models and ethical implications. They will develop skills in data analysis, statistical modeling, and programming in R.

After completing this program, students can pursue careers as Data Analysts, Statistical Modelers, or Data Scientists. They may work for companies such as Google or Microsoft, or for research institutions. Students may also find jobs as Business Intelligence Developers or Quantitative Analysts, working in finance, healthcare, or other industries.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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