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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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Articles

Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years

Aimee Schwab-McCoya Department of Mathematics, Creighton University, Omaha, NE; Correspondence[email protected]
,
Catherine M. Bakerb Department of Computer Science, Design and Journalism, Creighton University, Omaha, NE
&
Rebecca E. Gaspera Department of Mathematics, Creighton University, Omaha, NE;
Pages S40-S50 | Published online: 22 Mar 2021

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Anthony Underwood, Aidan Sichel & Emily C. Marshall. (2023) Teaching Reproducible Methods in Economics at Liberal Arts Colleges: A Survey. Journal of Statistics and Data Science Education 0:0, pages 1-7.
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Vojtech Kejzlar & Jingchen Hu. (2023) Introducing Variational Inference in Statistics and Data Science Curriculum. The American Statistician 0:0, pages 1-9.
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Davit Khachatryan. (2023) Playmeans: Inclusive and Engaging Data Science through Music. Journal of Statistics and Data Science Education 31:2, pages 151-161.
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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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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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Articles from other publishers (9)

Kritish Pahi & Vinhthuy Phan. (2023) A Cloud-Based Technology for Conducting In-class Exercises in Data Science and Machine Learning Courses. A Cloud-Based Technology for Conducting In-class Exercises in Data Science and Machine Learning Courses.
JooYoung Seo & Mine Dogucu. (2023) Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations. Journal of Data Science, pages 428-441.
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B. Ramakantha Reddy & R. Lokesh Kumar. 2023. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences 69 78 .
Kevin Cummiskey & Karsten Lübke. (2022) Causality in statistics and data science education. AStA Wirtschafts- und Sozialstatistisches Archiv 16:3-4, pages 277-286.
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Leon E. Burger. (2022) Teaching Data Science Programming Skills to Diverse Student Cohorts. Teaching Data Science Programming Skills to Diverse Student Cohorts.
N. Karthika, J. Sheela & B. Janet. 2022. Data Science with Semantic Technologies. Data Science with Semantic Technologies 1 30 .
Laouni Djafri. (2021) Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing. Data Technologies and Applications 56:4, pages 558-601.
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Wanda Marsolek, Katie Barrick, Alicia Kubas, Jenny McBurney & Alicia Hofelich Mohr. 2022. Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems. Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems 189 208 .
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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