Algebra and Differential Calculus for Data Science

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 for students who want to learn Algebra and Differential Calculus for a career in Data Science. It's a non-degree program that lasts several weeks and is taught in English. The main advantage is that it focuses on the most important concepts without unnecessary proofs and techniques.

The curriculum covers algebra basics, derivatives, and graphing and maximizing functions. Students will learn how to compute simple derivatives and apply them to real-world problems. The program also reviews some algebra basics to help students understand the concepts better.

After completing this program, students can pursue careers as Data Scientists, Data Analysts, Business Intelligence Developers, Data Engineers, or Quantitative Analysts. They can work in various industries, including finance, healthcare, and technology, and can be employed by companies like Google, Amazon, or Microsoft.