Nearest Neighbor Collaborative Filtering

The University of Minnesota, established in 1851 with campuses in Minneapolis and St. Paul, is a major public research university known for academic breadth and research excellence. Home to roughly 50,000 students including around 6,000 international students, the university offers more than 500 programs across liberal arts, sciences, engineering, business, and health sciences. Its long history is matched by a strong commitment to interdisciplinary collaboration and real-world impact.

U of M provides extensive research facilities, professional schools and centers that support hands-on learning, internships and industry partnerships. Students access world-class libraries, laboratories and clinical training sites, while faculty are active in cutting-edge research across fields. The Twin Cities location offers connections to a diverse economy, numerous employers and cultural institutions that enrich learning and career development.

Campus life is vibrant with student organizations, athletics, arts and public service opportunities that support personal growth and leadership. International students find dedicated advising, language support and career services to help transition to study and work in the U.S. The university’s combination of rigorous academics, practical experience and strong employer links makes it an attractive choice for students aiming to develop both expertise and professional readiness.

The Nearest Neighbor Collaborative Filtering program is for students interested in computer science and data analysis. It's a non-degree program that's taught in English and takes place online over several weeks. You'll learn from the University of Minnesota.

This program focuses on a specific technique used in recommendation systems. You'll develop skills in data analysis, programming, and machine learning. You'll also work on projects that involve building and testing recommendation systems.

After completing this program, you can pursue careers like Data Scientist, Software Engineer, or Business Analyst. You can work for companies that use recommendation systems, like Netflix or Amazon, or for organizations that need data analysis expertise.