Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking

Author:

Horton Nicholas J.1ORCID,Hardin Johanna S.2ORCID

Affiliation:

1. Department of Mathematics and Statistics, Amherst College, Amherst, MA;

2. Department of Mathematics and Statistics, Pomona College, Claremont, CA

Publisher

Informa UK Limited

Reference23 articles.

1. Computational Skills for Multivariable Thinking in Introductory Statistics

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

3. American Statistical Association (2016), “Guidelines for Assessment and Instruction in Statistics Education (GAISE) Revised College Report,” available at https://www.amstat.org/asa/education/Guidelines-for-Assessment-and-Instruction-in-Statistics-Education-Reports.aspx.

4. Association for Computing Machinery Data Science Task Force (2019), “Computing Competencies for Undergraduate Data Science Curricula: Draft 2,” available at http://dstf.acm.org/DSReportDraft2Full.pdf. Accessed 2021 January 24.

5. Implementing Version Control With Git and GitHub as a Learning Objective in Statistics and Data Science Courses

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