Guide to Teaching Data Science [E-Book] : An Interdisciplinary Approach / by Orit Hazzan, Koby Mike.
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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Full text |
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Personal Name(s): | Hazzan, Orit, author |
Mike, Koby, author | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
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Physical Description: |
XXVII, 321 pages 43 illustrations, 30 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031247583 |
DOI: |
10.1007/978-3-031-24758-3 |
Subject (LOC): |
- 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.