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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Vinitra Swamy

Vinitra Swamy
Researcher, UC Berkeley

Website

Vinitra Swamy graduated two years early with a bachelor’s degree in computer science from the University of California, Berkeley, and is now working toward a master’s degree in computer science. Her research interests include data science, cloud computing environments, and natural language processing. Vinitra is head student instructor for Berkeley’s new Foundations of Data Science course, helping shape curriculum and educating thousands of students from diverse backgrounds. Her efforts in data science education were recently recognized with a Berkeley EECS award of excellence in teaching and leadership. Vinitra also leads a Jupyter development student research team within the Data Science Education program and assists with the technical deployment and use of JupyterHub infrastructure campus-wide.

Sessions

5:00pm–5:40pm Thursday, August 24, 2017
Data science at UC Berkeley: 2,000 undergraduates, 50 majors, no command line
Usage and application
 Location: Sutton Center/Sutton South Level: Non-technical
Gunjan Baid (UC Berkeley), Vinitra Swamy (UC Berkeley)
Average rating: *****
(5.00, 2 ratings)
Engaging critically with data is now a required skill for students in all areas, but many traditional data science programs aren’t easily accessible to those without prior computing experience. Gunjan Baid and Vinitra Swamy explore UC Berkeley's Data Science program—2,000 students across 50 majors—explaining how its pedagogy was designed to make data science accessible to everyone. Read more.