Fundamental Tools of Data Wrangling

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 Fundamental Tools of Data Wrangling program is for students who want to learn how to work with data. This non-degree program is taught in English and lasts several weeks. Its main advantage is that it teaches students the essential skills they need to manipulate and analyze data.

The program's curriculum covers Python, data structures, NumPy, and pandas. Students learn how to use these tools to clean, transform, and analyze data. The course includes hands-on exercises and practical examples to help students gain proficiency in data wrangling.

After completing this program, students can pursue careers as data engineers, data architects, or business analysts. They can work in various industries, including finance, marketing, or healthcare, for companies like Amazon, Facebook, or Deloitte.