Your download is now in progress and you may close this window

Did you know that with a free Taylor & Francis Online account you can gain access to the following benefits?

Choose new content alerts to be informed about new research of interest to you
Easy remote access to your institution's subscriptions on any device, from any location
Save your searches and schedule alerts to send you new results
Export your search results into a .csv file to support your research

Have an account?
Login now Don't have an account?
Register for free

Login or register to access this feature

Have an account?
Login now Don't have an account?
Register for free

Choose new content alerts to be informed about new research of interest to you
Easy remote access to your institution's subscriptions on any device, from any location
Save your searches and schedule alerts to send you new results
Export your search results into a .csv file to support your research

Search in:

Advanced search

Journal of Statistics and Data Science Education Volume 29, 2021 - Issue sup1: Computing in the Statistics and Data Science Curriculum

Submit an article Journal homepage

Open access

3,151

Views

CrossRef citations to date

Altmetric

Articles

Expanding the Scope of Statistical Computing: Training Statisticians to Be Software Engineers

Alex ReinhartDepartment of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PACorrespondence[email protected]

https://orcid.org/0000-0002-6658-514X

Christopher R. GenoveseDepartment of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA

Pages S7-S15 | Published online: 22 Mar 2021

Cite this article
https://doi.org/10.1080/10691898.2020.1845109

Full Article
Figures & data
References
Citations
Metrics
Licensing
Reprints & Permissions
View PDF PDF View EPUB EPUB

Citations (1)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Nicholas J. Horton & Johanna S. Hardin. (2021) Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking. Journal of Statistics and Data Science Education 29:sup1, pages S1-S3.
Read now

Share icon
Back to Top

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.

People also read
Recommended articles
Cited by

To cite this article:

Reference style: APA Chicago Harvard

Citation copied to clipboard

Reference styles above use APA (6th edition), Chicago (16th edition) & Harvard (10th edition)

Download citation

Download a citation file in RIS format that can be imported by citation management software including EndNote, ProCite, RefWorks and Reference Manager.

Choose format: RIS BibTex RefWorks Direct Export

Choose options: Citation Citation & abstract Citation & references