Unsupervised Text Classification for Marketing Analytics

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 a non-degree course in Unsupervised Text Classification for Marketing Analytics, taught in English at the University of Colorado Boulder. It helps learners extract topics and insights from text data using unsupervised deep learning. The course lasts several weeks.

Students will learn about unsupervised machine learning and work with real-world datasets through instructor-led tutorials in Python. They will use Jupyter Notebooks and Google Colab, and store files in Google Drive. The course includes a major project where students can apply their skills.

After completing this course, students can pursue careers as Data Analysts, Marketing Researchers, Business Intelligence Developers, or Text Data Specialists. They can work in industries like marketing, finance, or healthcare, and for employers such as research firms, tech companies, or consulting agencies.