Ten simple rules for teaching data science
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866915770234044416 |
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| author | Timbers, Tiffany A. Çetinkaya-Rundel, Mine |
| author_facet | Timbers, Tiffany A. Çetinkaya-Rundel, Mine |
| contents | Teaching data science presents unique challenges and opportunities that cannot be fully addressed by simply borrowing pedagogical strategies from its parent disciplines of statistics and computer science. Here, we present ten simple rules for teaching data science, developed and refined by leading educators in the community and successfully applied in our own data science classrooms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_02874 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Ten simple rules for teaching data science Timbers, Tiffany A. Çetinkaya-Rundel, Mine Other Statistics Teaching data science presents unique challenges and opportunities that cannot be fully addressed by simply borrowing pedagogical strategies from its parent disciplines of statistics and computer science. Here, we present ten simple rules for teaching data science, developed and refined by leading educators in the community and successfully applied in our own data science classrooms. |
| title | Ten simple rules for teaching data science |
| topic | Other Statistics |
| url | https://arxiv.org/abs/2602.02874 |