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Guide to Teaching Data Science An Interdisciplinary Approach /

Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry. This book aims at closing a significant gap in th...

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Autori principali: Hazzan, Orit (Autore), Mike, Koby (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edizione:1st ed. 2023.
Soggetti:
Artificial intelligence > Data processing.
Teaching.
Quantitative research.
Education > Data processing.
Algorithms.
Data Science.
Didactics and Teaching Methodology.
Data Analysis and Big Data.
Computers and Education.
Accesso online:https://doi.org/10.1007/978-3-031-24758-3
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Sommario:
  • Part I: Overview of Data Science and Data Science Education
  • Chapter 1. Introduction
  • Chapter 2. What is data science
  • Chapter 3. Introduction to data science education
  • Chapter 4. Data science thinking
  • Part II: Challenges of Data Science Education
  • Chapter 5. The pedagogical challenge of data science education
  • Chapter 6. Data science education and the variety of learners
  • Chapter 7. The interdisciplinarity challenge
  • Chapter 8. Data science skills
  • Part III: Data science Teaching frameworks
  • Chapter 9. Teacher Preparation - the Method for Teaching Data Science course
  • Chapter 10. Data Science for Social Science
  • Chapter 11. Conclusion.

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