Data Science

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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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Braschler, M., Stadelmann, T., & Stockinger, K. (2019). Data Science. In Applied Data Science: Lessons Learned for the Data-Driven Business (pp. 17–29). Springer International Publishing. https://doi.org/10.1007/978-3-030-11821-1_2

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