The Data Science Education Program has a vision to create pedagogical opportunities for all students to experience data science approaches within existing classes. The UC Berkeley Data hub is an open-source, cloud-based computing resource that makes computing accessible to all students. This tool and approach are especially adaptable and useful for online learning. We look forward to introducing more instructors to this approach. The platform is currently used to introduce computation in classes in Humanities and Social Sciences, Environmental Science, Biology, Earth Science, and many more.
This talk will cover: Illustration of the types of course materials being developed for Data Science pedagogy for a variety of classes, including introductory, intermediate and advanced courses, and American Cultures classes and experiences from instructors adopting and adapting these materials. A brief review of the elements of teaching using R and Python via Jupyter notebooks and deployment of classes via Jupyterhub. Overview of the introduction of Data Science pedagogy into classes, how these technologies are making data science accessible to all types of students regardless of technical background. Utilizing student developers and cloud based campus infrastructure, project teams create innovative curriculum adapted to the context and skill level of each class. Review of the types of Data Science classes at Berkeley. Hands-on computer-demonstrations of data science instructional materials.