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Kicking off our series of workshops on DataHub, the first part will concentrate on introducing the essential elements and capabilities of DataHub, its possibilities, and how instructors from different departmental units across the campus are actively integrating notebooks in Python, R, and Julia as part of their pedagogy.
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 DataHub and Jupyter Notebooks, along with case studies from diverse departments and a brief demo to showcase practical applications. This workshop marks the initial session in a three-part series aimed at introducing both basic and advanced tools that support Data Science pedagogy. Additionally, it will cover practical strategies to enhance the accessibility of Jupyter notebooks.
By the end of the workshop, participants will be able to understand how they can integrate Jupyter Notebooks as part of their coursework and how their colleagues across the campus are using Datahub as part of their pedagogy.
This event will take place in-person at 117 Dwinelle Hall (Academic Innovation Studio). Please RSVP if you’re planning to join.
➡️Register for this event here!⬅️
***Registration for this session will close one hour before the session***