Intro


Webinar: An Introduction to Data Science

This webinar will discuss why data science is important to the social sciences, and
what social scientists add to this vibrant conversation.

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Intro


Webinar: An Introduction to Data Science

This webinar will discuss why data science is important to the social sciences, and
what social scientists add to this vibrant conversation.

Sign Up

This webinar is presented by Claudia von Vacano, Executive Director of Berkeley’s Social Sciences Data-Lab, and Geoff Bacon a PhD student in the Language and Cognition Lab, also at UC Berkeley. Claudia and Geoff are instructors on Introduction to Data Science for Social Scientists and they will draw on their expert knowledge to discuss why data scientists and social scientists can benefit from learning and from each other, and working together.

Please note that the discount featured in this webinar recording is no longer valid.

 


 
1
A conversation around why social scientists are using computational methods
2
What you will learn in the SAGE Campus courses that have been created in partnership with U. C Berkeley Data Lab
3
A demonstration of Jupyter notebooks
4
A Q&A session for beginners and experts

Instructor


Instructor


 Joe Shaw

PRESENTERS

Claudia von Vacano is the Executive Director of the Social Sciences D-Lab and the Digital Humanities at Berkeley, and lead online course developer of the SAGE Campus “Introduction to Data Science for Social Scientists.”  

Claudia received a Master’s degree from Stanford University in Learning, Design, and Technology and her doctorate is in Policy, Organizations, Measurement, and Evaluation from UC Berkeley.

 

Geoff Bacon is a PhD student in the Language and Cognition Lab at UC Berkeley. His research focuses on two questions: why languages look the way they do and how people learn to express temporal semantics. To study these, Geoff uses probabilistic models of language, including Bayesian and neural network models, which he programs in Python.

Settings


Settings


Settings

 
COST
Free
WEBINAR TIME
1 hour
PREREQUISITES
None
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