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.

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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
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article

Generative AI for Data Science 101: Coding Without Learning to Code

Gourab Mukherjee, Jacob Bien
7 citations
Journal of Statistics and Data Science Education
Data Mining Algorithms and Applications
4.67
article

Generative AI for Data Science 101: Coding Without Learning to Code

Gourab Mukherjee, Jacob Bien
article en
7 citations

Abstract

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.

Journal of Statistics and Data Science EducationVol. 33(2)
University of Southern California (US)
Openalex Percentile: Top 5%
Data Mining Algorithms and Applications
4.67
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