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Journal of Statistics and Data Science Education Volume 29, 2021 - Issue 3
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Data Sciences

Using Team-Based Learning to Teach Data Science

Eric A. VanceLaboratory for Interdisciplinary Statistical Analysis, Department of Applied Mathematics, University of Colorado Boulder, Boulder, COCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5545-1878View further author information
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Pages 277-296 | Published online: 01 Oct 2021

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Nicole M. Dalzell & Ciaran Evans. (2023) Increasing Student Access to and Readiness for Statistical Competitions. Journal of Statistics and Data Science Education 31:3, pages 258-263.
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Nicholas J. Horton. (2023) The Journal of Statistics and Data Science Education Jackie Dietz Best Paper Award. Journal of Statistics and Data Science Education 31:2, pages 113-115.
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Maria Tackett. (2023) Three Principles for Modernizing an Undergraduate Regression Analysis Course. Journal of Statistics and Data Science Education 31:2, pages 116-127.
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Katie A. McCarthy & Gregory A. Kuhlemeyer. (2023) Preparing Analytics-Enabled Professionals in Finance Using a Simultaneous Team-Teaching Approach: A Case Study. Journal of Statistics and Data Science Education 0:0, pages 1-10.
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Jessica L. Alzen, Ilana M. Trumble, Kimberly J. Cho & Eric A. Vance. (2023) Training Interdisciplinary Data Science Collaborators: A Comparative Case Study. Journal of Statistics and Data Science Education 0:0, pages 1-10.
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Amanda Ellis. (2023) Incorporating Workforce Readiness Skills to Increase How Students Perceive Value of Biostatistics Coursework. CHANCE 36:2, pages 39-44.
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Eric A. Vance, Jessica L. Alzen & Heather S. Smith. (2022) Creating Shared Understanding in Statistics and Data Science Collaborations. Journal of Statistics and Data Science Education 30:1, pages 54-64.
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Articles from other publishers (1)

V. S. Nikolskiy, M. A. Lukashenko & E. A. Sharova. (2022) The Modern World Landscape of Data Science Online Education. Vysshee Obrazovanie v Rossii = Higher Education in Russia 31:4, pages 129-147.
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