Название: Guide to Teaching Data Science: An Interdisciplinary Approach
Автор: Orit Hazzan, Koby Mike
Издательство: Springer
Год: 2023
Страниц: 330
Язык: английский
Формат: pdf (true), epub
Размер: 15.8 MB
Data Science is a new discipline of research that is gaining growing interest in both industry and academia. As a result, demand is increasing for Data Science programs for a variety of learners from a variety of disciplines (Data Science, Computer Science, statistics, engineering, life science, social science and humanities) and a variety of levels (from school children to academia and industry). While significant efforts are being invested in the development of Data Science curricula, or in other words, in what to teach, only sporadic discussions focus today on the Data Science pedagogy, that is, on how to teach. This is the focus of this guide. 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.