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Activity Number: 27 - SPEED: Statistical Learning and Data Challenge Part 1
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #322783
Title: Utilizing Open Source Resources to Teach Introductory Data Science
Author(s): Tyler George*
Companies: Cornell College
Keywords: Teaching; Education; Data Science

There are a plethora of open education resources for introductory data science courses. Utilizing these resources in a classroom presents a variety of challenges for instructors including difficulties adapting the course materials to their particular program or campus, setting up computing infrastructures or cloud services, and learning new software. This poster will cover a successful introductory data science course redesign using primarily the open source resource, Data Science in a Box, by Mine Çetinkaya-Rundel, in a One-Course-at-A-Time semester calendar at a small liberal arts college. Three major areas will be covered in this talk related to this Introduction to Data Science course implementation. (1) The course design including the schedule, classroom setup, and daily course flow. (2) The setting up of a minimal infrastructure to utilize RStudio Server on a campus computer. (3) The technology and content necessary to learn to teach the course effectively.

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

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