Statistical Inference and Hypothesis Testing in Data Science Applications 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 Statistical Inference and Hypothesis Testing in Data Science Applications Online Course is a non-degree program that teaches you about statistics and data science. It's taught in English and lasts several weeks. You can study from anywhere in the world and learn from the University of Colorado Boulder.

In this course, you'll learn about statistical inference, hypothesis testing, and confidence intervals. You'll develop skills in data analysis, statistical modeling, and programming. The course includes projects to help you practice your new skills and work with real data.

After completing this course, you can work as a Data Analyst, Biostatistician, or Quantitative Analyst. You can also work as a Research Scientist or Data Journalist in companies like Pfizer, Netflix, or The New York Times.