University of London

Data Science Project Capstone: Predicting Bicycle Rental

London, United Kingdom

The Non-degree in Data Science Project Capstone: Predicting Bicycle Rental at University of London is a program for international students taught in English.

Introduction

The University of London, founded in 1836 and headquartered in one of the world’s leading capitals, offers a broad and flexible higher-education environment through its federated colleges and institutes. Serving around 170,000 students with some 50,000 international learners, the University of London is notable for its global reach, diverse academic programs and long tradition of research excellence. Its structure lets students choose from a wide range of disciplines while benefiting from the prestige and resources of constituent colleges.

Academics span arts and humanities, social sciences, law, medicine, business and STEM fields across roughly 100 programs, supported by extensive research networks and partnerships. Students can access world-class faculty, libraries and laboratory facilities hosted by individual colleges, while interdisciplinary initiatives enable cross-college collaboration. The university’s scale also provides abundant extracurricular opportunities, professional development services and pathways to internships and research placements.

London’s international setting offers unmatched cultural and career resources: global firms, cultural institutions and start-up ecosystems are within easy reach. International students benefit from tailored support services, language preparation options and strong alumni networks across sectors and countries. Whether seeking rigorous research training or industry-aligned professional degrees, the University of London provides flexible routes, strong employability outcomes and the vibrancy of studying in a global city.

About the Program

The Data Science Project Capstone: Predicting Bicycle Rental is a non-degree program for students who want to learn data science. It's offered by the University of London and takes place online over several weeks. The main advantage of this program is that it helps students develop practical skills in data science.

The curriculum focuses on predicting bicycle rental demand using real-world data. Students will learn to work with datasets, develop models, and evaluate their performance. They will also get hands-on experience with data visualization and presentation tools.

After completing this program, students can pursue careers as Data Analysts, Business Intelligence Developers, or Operations Research Analysts. They can work in industries like transportation, logistics, or consulting, and for employers such as city governments, startups, or established companies like Uber or Lyft.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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