Modeling Climate Anomalies with Statistical Analysis Online Course

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.

The Modeling Climate Anomalies with Statistical Analysis Online Course is for students who want to learn about climate modeling. This non-degree course is taught in English and takes place online. It helps students understand climate anomalies.

Students will learn about statistical analysis and how to apply it to climate modeling. They will also develop skills in data analysis and interpretation. The course includes hands-on components to help students practice their new skills.

After completing this course, students can pursue careers as Climate Modelers, Data Analysts, Environmental Consultants, or Research Assistants. They can work in industries such as environmental consulting, government agencies, or research institutions.