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Open Case Studies: Statistics and Data Science Education through Real-World Applications

With unprecedented and growing interest in data science education, there are limited educator materials that provide meaningful opportunities for learners to practice statistical thinking, as defined by Wild and Pfannkuch, with messy data addressing real-world challenges. As a solution, Nolan and Sp...

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Autori principali: Carrie Wright, Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager, John Muschelli, Stephanie C. Hicks
Natura: Artigo
Lingua:Inglês
Pubblicazione: Taylor & Francis Group 2024-10-01
Serie:Journal of Statistics and Data Science Education
Soggetti:
Applied statistics
Case studies
Computing
Data science
Education
Statistical thinking
Accesso online:https://www.tandfonline.com/doi/10.1080/26939169.2024.2394541
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