Guide to Teaching Data Science

Guide to Teaching Data Science
Author :
Publisher : Springer Nature
Total Pages : 330
Release :
ISBN-10 : 9783031247583
ISBN-13 : 3031247582
Rating : 4/5 (582 Downloads)

Book Synopsis Guide to Teaching Data Science by : Orit Hazzan

Download or read book Guide to Teaching Data Science written by Orit Hazzan and published by Springer Nature. This book was released on 2023-03-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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). Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations. Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.


Guide to Teaching Data Science Related Books

Data Science in Education Using R
Language: en
Pages: 315
Authors: Ryan A. Estrellado
Categories: Education
Type: BOOK - Published: 2020-10-26 - Publisher: Routledge

DOWNLOAD EBOOK

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data sci
Guide to Teaching Data Science
Language: en
Pages: 330
Authors: Orit Hazzan
Categories: Computers
Type: BOOK - Published: 2023-03-20 - Publisher: Springer Nature

DOWNLOAD EBOOK

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 suita
Data Science for Beginners
Language: en
Pages: 86
Authors: Alex Campbell
Categories:
Type: BOOK - Published: 2021-01-12 - Publisher:

DOWNLOAD EBOOK

Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artifici
The K-12 Educator’s Data Guidebook
Language: en
Pages: 137
Authors: Ryan A. Estrellado
Categories: Education
Type: BOOK - Published: 2022-03-21 - Publisher: Routledge

DOWNLOAD EBOOK

The K-12 Educator’s Data Guidebook is a comprehensive field guide for school professionals learning to use data. “Non-data people,” rejoice! Requiring no
Guide to Teaching Computer Science
Language: en
Pages: 416
Authors: Orit Hazzan
Categories: Education
Type: BOOK - Published: 2020-08-05 - Publisher: Springer Nature

DOWNLOAD EBOOK

This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed imp