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Articles

Easy-to-Use Cloud Computing for Teaching Data Science

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Pages S103-S111 | Published online: 22 Mar 2021

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Read on this site (4)

Julia Wagemann, Stephan Siemen, Bernhard Seeger & Jörg Bendix. (2021) A user perspective on future cloud-based services for Big Earth data. International Journal of Digital Earth 14:12, pages 1758-1774.
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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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Articles from other publishers (7)

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.
Dou Du, Taylor J. Baird, Sara Bonella & Giovanni Pizzi. (2023) OSSCAR, an open platform for collaborative development of computational tools for education in science. Computer Physics Communications 282, pages 108546.
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Julia Wagemann, Federico Fierli, Simone Mantovani, Stephan Siemen, Bernhard Seeger & Jörg Bendix. (2022) Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education. Remote Sensing 14:14, pages 3359.
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William Vallejo, Carlos Díaz-Uribe & Catalina Fajardo. (2022) Google Colab and Virtual Simulations: Practical e-Learning Tools to Support the Teaching of Thermodynamics and to Introduce Coding to Students. ACS Omega 7:8, pages 7421-7429.
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Алексей Владимирович Сальков & Ирина Борисовна Журавель. (2021) Pedagogical conditions for using an interactive notebook as a means of developing the cognitive interest of younger schoolchildren in learning the Russian language. Management of Education:5(45), pages 196-212.
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Felipe Engelberger, Pablo Galaz-Davison, Graciela Bravo, Maira Rivera & César A. Ramírez-Sarmiento. (2021) Developing and Implementing Cloud-Based Tutorials That Combine Bioinformatics Software, Interactive Coding, and Visualization Exercises for Distance Learning on Structural Bioinformatics. Journal of Chemical Education 98:5, pages 1801-1807.
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Raul Llopis Gandia, Sławomir Zieliński & Marek Konieczny. 2021. Computational Science – ICCS 2021. Computational Science – ICCS 2021 640 653 .