The Growing Importance of Reproducibility and Responsible Workflow in the Data Science and Statistics Curriculum-Reference-Cited by-同舟云学术

The Growing Importance of Reproducibility and Responsible Workflow in the Data Science and Statistics Curriculum

Published:2022-09-02 Issue:3 Volume:30 Page:207-208
ISSN:2693-9169
Container-title:Journal of Statistics and Data Science Education
language:en
Short-container-title:Journal of Statistics and Data Science Education

Author:

Horton Nicholas J.^ORCID,Alexander Rohan^ORCID,Parker Micaela,Piekut Aneta^ORCID,Rundel Colin^ORCID

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Education,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/26939169.2022.2141001

Reference21 articles.

1. ACM. (2021), “Computing Competencies for Undergraduate Data Science Curricula”, Available at https://www.acm.org/binaries/content/assets/education/curricula-recommendations/dstf_ccdsc2021.pdf.

2. American Statistical Association. (2014), “Curriculum Guidelines for Undergraduate Programs in Statistics,” Available at https://www.amstat.org/asa/education/Curriculum-Guidelines-for-Undergraduate-Programs-in-Statistical-Science.aspx.

3. A Fresh Look at Introductory Data Science

4. Curriculum Guidelines for Undergraduate Programs in Data Science

5. Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff

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