Generative AI for Data Science 101: Coding Without Learning to Code
Should one teach coding in a required introductory statistics and data science class for non-major students? Many professors advise against it, considering it a distraction from the important and challenging statistical topics that need to be covered. By contrast, other professors argue that the ability to interact flexibly with data will inspire students with a lasting love of the subject and a continued commitment to the material beyond the introductory course. With the release of large language models that write code, we saw an opportunity for a middle ground, which we tried in Fall 2023 in a required introductory data science course in our school’s full-time MBA program. We taught students how to write English prompts to the artificial intelligence tool GitHub Copilot that could be turned into R code and executed. In this short article, we report on our experience using this new approach.
Authors
- Gourab Mukherjee (ORCID: https://orcid.org/0000-0001-6496-1271)
- Jacob Bien
Institutions
- University of Southern California (US)
Publication Details
- Journal
- Journal of Statistics and Data Science Education
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1080/26939169.2024.2432397
- Citations
- 7
- Primary Topic
- Data Mining Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.67