Easy-to-Use Cloud Computing for Teaching Data Science

Author:

Kim Brian1ORCID,Henke Graham2

Affiliation:

1. Joint Program in Survey Methodology, University of Maryland, College Park, MD;

2. Center for Urban Science & Progress, New York University, Brooklyn, NY

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Education,Statistics and Probability

Reference32 articles.

1. Adhikari, A., and DeNero, J. (2019), “Computational and Inferential Thinking: The Foundations of Data Science,” GitBook, licensed under CC BY-NC-ND 4.0.

2. Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education

3. Graduate training in statistics, methodology, and measurement in psychology: A survey of PhD programs in North America.

4. A Data Science Course for Undergraduates: Thinking With Data

5. Baumer, B., Cetinkaya-Rundel, M., Bray, A., Loi, L., and Horton, N. J. (2014), “R Markdown: Integrating A Reproducible Analysis Tool Into Introductory Statistics,” Technological Innovations in Statistics Education, 8. Available at https://escholarship.org/uc/item/90b2f5xh.

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