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

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Teaching Statistical Concepts and Modern Data Analysis With a Computing-Integrated Learning Environment

Philipp BurckhardtDepartment of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PACorrespondence[email protected]

Rebecca NugentDepartment of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA

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

Pages S61-S73 | Published online: 22 Mar 2021

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https://doi.org/10.1080/10691898.2020.1854637

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Yuanting Lu. (2023) Web-Based Applets for Facilitating Simulations and Generating Randomized Datasets for Teaching Statistics. Journal of Statistics and Data Science Education 31:3, pages 264-272.
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Sara Stoudt. (2022) Collaborative Writing Workflows in the Data-Driven Classroom: A Conversation Starter. Journal of Statistics and Data Science Education 30:3, pages 282-288.
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David W. Gerbing. (2021) Enhancement of the Command-Line Environment for use in the Introductory Statistics Course and Beyond. Journal of Statistics and Data Science Education 29:3, pages 251-266.
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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.
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