Guide to Teaching Data Science : An Interdisciplinary Approach
4,850.00₹ 6,115.00₹
- Author: Orit Hazzan , Koby Mike
- ISBN: 9783031247526
- Availability: In Stock
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ABOUT THE BOOK
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 the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.
This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).
TABLE OF CONTENTS
Overview of Data Science and Data Science Education
Front Matter
Opportunities and Challenges of Data Science Education
Front Matter
Teaching Professional Aspects of Data Science
Front Matter
Machine Learning Education
Front Matter