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2023 | OriginalPaper | Buchkapitel

2. What is Data Science?

verfasst von : Orit Hazzan, Koby Mike

Erschienen in: Guide to Teaching Data Science

Verlag: Springer International Publishing

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Abstract

Although many attempts have been made to define data science, such a definition has not yet been reached. One reason for the difficulty to reach a single, consensus definition for data science is its multifaceted nature: it can be described as a science, as a research method, as a discipline, as a workflow, or as a profession. One single definition just cannot capture this diverse essence of data science. In this chapter, we first take an interdisciplinary perspective and review the background for the development of data science (Sect. 2.1). Then we present data science from several perspectives: data science as a science (Sect. 2.2), data science as a research method (Sect. 2.3), data science as a discipline (Sect. 2.4), data science as a workflow (Sect. 2.5), and data science as a profession (Sect. 2.6). We conclude by highlighting three main characteristics of data science: interdisciplinarity, learner diversity, and its research-oriented nature (Sect. 2.7).

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Titel: What is Data Science?
verfasst von: Orit Hazzan
Koby Mike
Verlag: Springer International Publishing
Buch: Guide to Teaching Data Science
Print ISBN: 978-3-031-24757-6

Electronic ISBN: 978-3-031-24758-3

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-24758-3_2

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