Guide to Teaching Data Science: An Interdisciplinary Approach

Data science is a new field that is taught in a variety of environments, and this book aims to close a gap in the literature on the pedagogy of data science. It provides a variety of pedagogical discussions, teaching methods, frameworks, exercises, and guidelines related to data science concepts, main machine learning algorithms, and professional topics. Professor Orit Hazzan is a faculty member at the Technion Department of Education in Science and Technology, and Dr. Koby Mike is a Ph.D. graduate from the department.

Format: Hardback
Length: 321 pages
Publication date: 21 March 2023
Publisher: Springer International Publishing AG

Data science is a rapidly evolving field that impacts nearly every aspect of our lives, making it an essential subject to be taught in diverse educational settings. This comprehensive book is designed to address a significant gap in the literature on data science pedagogy. While there are numerous articles and whitepapers discussing the curriculum of data science, the pedagogical aspect of the field, which encompasses effective teaching strategies, has received relatively less attention. As the demand for data science programs continues to grow, the importance of pedagogical considerations becomes even more crucial.

This book offers a rich collection of pedagogical discussions and practical teaching methods and frameworks. It includes a range of exercises and guidelines that cover various data science concepts, such as data thinking, the data science workflow, machine learning algorithms, performance metrics, confusion matrices, and biases. Additionally, it delves into professional topics related to data science, including ethics, skills, and research approaches.

The author of this book, Professor Orit Hazzan, is a faculty member at the Technion Department of Education in Science and Technology, where she conducts research in computer science, software engineering, and data science education. Her research focuses on understanding the cognitive and social processes at individual, team, and organizational levels in various organizations.

Dr. Koby Mike, a Ph.D. graduate from the Technion's Department of Education in Science and Technology, is the co-author of this book. He further advanced his expertise in data science education during his post-doc research at Bar-Ilan University, where he obtained a B.Sc. and an M.S.

By providing a comprehensive and practical guide to data science pedagogy, this book aims to empower educators and lecturers across all educational frameworks, including K-12, academia, and industry. It equips educators with the tools and knowledge necessary to effectively teach data science and prepare students for the challenges and opportunities of the 21st century.

Weight: 676g
Dimension: 161 x 243 x 27 (mm)
ISBN-13: 9783031247576
Edition number: 1st ed. 2023