Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 502 - Learning Beyond the Introductory Statistics Classroom
Type: Contributed
Date/Time: Thursday, August 6, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #313386
Title: Teaching Data Science with JupyterLab
Author(s): Brian Gaines*
Companies: SAS Institute
Keywords: Jupyter; Data science; Education; Reproducibility; Communication; Active learning

JupyterLab is a browser-based coding interface that has become very popular in the data science community. You can use this open-source interface to generate dynamic notebooks that easily incorporate code and results into documents such as course materials and analytical reports. The ability to seamlessly interweave code, results, narrative text, and mathematical formulas all into one document provides students with practical experience in creating reports and effectively communicating results. In addition, the use of an executable document facilitates collaboration and promotes reproducible research and analyses. This presentation describes JupyterLab, discusses examples of using it to teach data science, and provides tips.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2020 program