Duration: c. 60 hours (across 6 weeks)
Academic lead: Professor Elena Simperl
100% Online Delivery: Personal and group tutorials, guided self-study via core materials, Q&A, peer discussions, and supported code implementation including coursework
Prerequisites: A decent understanding of programming is required; some experience with Python or with a similar language is recommended.
Target group: Anyone wanting to start their career in Data Science, or looking to learn how to apply the powerful techniques of Data Science to their current business challenges
Learning materials: Video tutorials, presentations, online exercises, further reading
Assessment and feedback: Assignments (3 pieces), with expert tutors to provide guidance and formative feedback throughout the course