Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-17427| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | Data science |
| Authors: | Braschler, Martin Stadelmann, Thilo Stockinger, Kurt |
| et. al: | No |
| DOI: | 10.1007/978-3-030-11821-1_2 10.21256/zhaw-17427 |
| Published in: | Applied data science : lessons learned for the data-driven business |
| Editors of the parent work: | Braschler, Martin Stadelmann, Thilo Stockinger, Kurt |
| Page(s): | 17 |
| Pages to: | 29 |
| Issue Date: | 14-Jun-2019 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-11821-1 978-3-030-11820-4 |
| Language: | English |
| Subjects: | Data science; Analytics; Engineering; Entrepreneurship; Communication; Definition |
| Subject (DDC): | 005: Computer programming, programs and data |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/17427 |
| Fulltext version: | Submitted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ADS_2019_DataScience.pdf | Preprint | 312.32 kB | Adobe PDF |  View/Open |
Show full item record
Braschler, M., Stadelmann, T., & Stockinger, K. (2019). Data science. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 17–29). Springer. https://doi.org/10.1007/978-3-030-11821-1_2
Braschler, M., Stadelmann, T. and Stockinger, K. (2019) ‘Data science’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 17–29. Available at: https://doi.org/10.1007/978-3-030-11821-1_2.
M. Braschler, T. Stadelmann, and K. Stockinger, “Data science,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 17–29. doi: 10.1007/978-3-030-11821-1_2.
BRASCHLER, Martin, Thilo STADELMANN und Kurt STOCKINGER, 2019. Data science. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 17–29. ISBN 978-3-030-11821-1
Braschler, Martin, Thilo Stadelmann, and Kurt Stockinger. 2019. “Data Science.” In Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 17–29. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_2.
Braschler, Martin, et al. “Data Science.” Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler et al., Springer, 2019, pp. 17–29, https://doi.org/10.1007/978-3-030-11821-1_2.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.