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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Bibliographic Details
Main Authors:	Hazzan, Orit (Author), Mike, Koby (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	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. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.