Everyday Excel, Part 2

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 Everyday Excel, Part 2 program is a non-degree course for intermediate Excel users who want to expand their knowledge of applications in Excel. This online program is offered by the University of Colorado Boulder and is the second part of a three-part series. It helps students develop advanced skills in Excel and prepares them for project-based work.

The program's curriculum covers advanced data management techniques, financial calculations, and the use of tools like Data Tables, Goal Seek, and Solver. Students will also learn to create mathematical predictive regression models using the Regression tool in Excel. The course includes hands-on components to help students practice their skills and apply them to real-world problems.

After completing this program, students can pursue careers as data analysts, financial planners, business intelligence developers, or operations research analysts. They can work in various industries, including finance, consulting, or healthcare, and help organizations make data-driven decisions.