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Data Science

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Applied Data Science

Abstract

Even though it has only entered public perception relatively recently, the term “data science” already means many things to many people. This chapter explores both top-down and bottom-up views on the field, on the basis of which we define data science as “a unique blend of principles and methods from analytics, engineering, entrepreneurship and communication that aim at generating value from the data itself.” The chapter then discusses the disciplines that contribute to this “blend,” briefly outlining their contributions and giving pointers for readers interested in exploring their backgrounds further.

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Authors and Affiliations

  1. ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Martin Braschler, Thilo Stadelmann & Kurt Stockinger

Authors
  1. Martin Braschler
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  2. Thilo Stadelmann
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  3. Kurt Stockinger
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Corresponding author

Correspondence to Martin Braschler .

Editor information

Editors and Affiliations

  1. Inst. of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Martin Braschler

  2. Inst. of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Thilo Stadelmann

  3. Inst. of Applied Information Technology, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Kurt Stockinger

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Braschler, M., Stadelmann, T., Stockinger, K. (2019). Data Science. In: Braschler, M., Stadelmann, T., Stockinger, K. (eds) Applied Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-11821-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-11821-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11820-4

  • Online ISBN: 978-3-030-11821-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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