KEYNOTE SPEECH Lessons from UC Berkeley’s Data Science

Eric Van Dusen (12:00-1:00)

Data Science Education at UC Berkeley starts with student-centered, interdisciplinary curriculum based on an open-source educational stack to deliver interactive computing. Through data centered lessons students learn the skills which form the foundations of computational and inferential thinking. Lessons use computational notebooks to explore practical data sets. Students may then proceed to be involved in tutoring, building curriculum, or research projects. UC Berkeley’s open-source approach also informs its outreach efforts with community colleges and state universities, as well as nationally building a community around Data Science Education.

This session takes place in the DeBruce Center and includes a provided lunch.

Lunch is a build your own taco bar with chicken, pork, steak, and veggie-based proteins. Toppings and extras are labeled with allergens and dietary restrictions.

THIS EVENT WAS MADE POSSIBLE BY:

The National Science Foundation (NSF) Established Program to Stimulate Competitive Research (EPSCoR) RII Track-1 program Adaptive and Resilient Infrastructures driven by Social Equity (ARISE), award #2148878 supports areas in the country receiving a lower percentage of federal funding.

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