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Title: Introduction to applied data science
Authors : Stadelmann, Thilo
Braschler, Martin
Stockinger, Kurt
et. al : No
Published in : Applied data science : lessons learned for the data-driven business
Pages : 3
Pages to: 16
Editors of the parent work: Braschler, Martin
Stadelmann, Thilo
Stockinger, Kurt
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Cham
Issue Date: 14-Jun-2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Editorial review
Language : English
Subjects : Data science; Definition; Big data; Mega trend; Interdisciplinarity
Subject (DDC) : 005: Computer programming, programs and data
Abstract: What is data science? Attempts to define it can be made in one (prolonged) sentence, while it may take a whole book to demonstrate the meaning of this definition. This book introduces data science in an applied setting, by first giving a coherent overview of the background in Part I, and then presenting the nuts and bolts of the discipline by means of diverse use cases in Part II; finally, specific and insightful lessons learned are distilled in Part III. This chapter introduces the book and provides an answer to the following questions: What is data science? Where does it come from? What are its connections to big data and other mega trends? We claim that multidisciplinary roots and a focus on creating value lead to a discipline in the making that is inherently an interdisciplinary, applied science.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Book part
DOI : 10.21256/zhaw-3177
ISBN: 978-3-030-11821-1
Appears in Collections:Publikationen School of Engineering

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