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As part of our series of workshops on DataHub, the second part will concentrate on introducing the Berkeley Data Stack–a suite of tools that support Data Science instruction at Berkeley–and exploring how instructors across the campus are integrating such tools as part of their course work. The tools include nbgitpuller, Otter Grader, Gradescope, and Github. We’ll explore the more advanced functionalities of these tools, which are used by diverse instructors. Consider also enrolling in the first part of this workshop series: Teaching with Jupyter Notebooks in Python and R – Intro to Datahub
For the past six years, UC Berkeley has been utilizing DataHub, a campus-wide JupyterHub infrastructure, to enhance learning across various disciplines like Engineering, Data Science, Natural Science, and Social Sciences. DataHub is used in over 100 courses across 30+ departments, offering interactive computing environments via JupyterHub’s open-source tools, accessible from any web browser.
This workshop is ideal for those interested in:
This workshop will provide a concise introduction to Berkeley Data Stack, along with case studies from diverse departments and a brief demo to showcase practical applications. This workshop is the second session in a three-part series aimed at introducing both basic and advanced tools that support Data Science pedagogy.
By the end of the workshop, participants will be able to understand how they can integrate Berkeley Data Stack as part of their coursework and learn from examples of colleagues across the campus interested in using Datahub as part of their pedagogy.
This hybrid event will be held in person in 117 Dwinelle Hall (Academic Innovation Studio) and also on Zoom. Please register to get the Zoom invite.
➡️Register for this event here!⬅️
***Registration for this session will close one hour before the session***