Digital Learning Platforms for Data Science Education

March 7, 2019, 12:00pm to 1:30pm
Intended audience: 
Academic Support Staff, Faculty, Graduate Students, Instructors, Researchers
Part of series: 

The Jupyter Notebook is an open-source, web application that allows rich text elements (paragraphs, equations, images, links) to be combined with programmable code. This creates an interactive learning environment that can be easily customized and shared.

Learn about how data science classes are leveraging Jupyter Notebooks and JupyterHub for instruction at scale. Get an overview of data science pedagogy and a hands-on demonstration of data science instructional methods.

This workshop is co-sponsored by Research IT and the Data Science Education Program and part of the regular bi-weekly Research IT Reading Group.

Registration

Registration is unavailable. Registration closed on March 6, 2019 - 5:00pm.

Host

Research IT (RIT)
Data Science Education Program (DSEP)
Research IT Reading Group

Series description

Learn data science concepts, pedagogical methods, and technical tools, and get help integrating them into your teaching, whether it's creating a stand-alone data science connector course or incorporating a module into an existing course. This series of workshops focuses on different related topics of interest.