Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 68 - Fostering Growth in Data Science and Analytics
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #323012
Title: The Importance of Workflow as a Topic in Data Science Education
Author(s): Hunter Glanz*
Companies: California Polytechnic State University
Keywords: education; data science; workflow; reproducibility; communication

Most education and pedagogical conversations involve "hard" content topics like data visualization or modeling. Indeed, it's challenging to discuss teaching many data science ideas because they do not make up an entire course themselves or do not relate strongly to an existing concept. However, many of these topics are just as necessary in data science education as basic statistics. Reproducibility, documentation, ethics, team dynamics, version control, choice of tools, and communication are just some of the topics that could be considered part of "workflow" as they contribute to many parts of the data science pipeline of work no matter what the project actually is. While each of these may not get its own dedicated course, it is important to thoughtfully include discussions of them across multiple data science courses. In this presentation, we discuss essential considerations for including these workflow ideas into existing data science coursework.

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

Back to the full JSM 2022 program