Advertisement
Published in:
2019 | OriginalPaper | Chapter
Introduction to Applied Data Science
Authors : Thilo Stadelmann, Martin Braschler, Kurt Stockinger
Published in: Applied Data Science
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.