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https://doi.org/10.21256/zhaw-3176| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | Data scientists |
| Authors: | Stadelmann, Thilo Stockinger, Kurt Heinatz-Bürki, Gundula Braschler, Martin |
| et. al: | No |
| DOI: | 10.1007/978-3-030-11821-1_3 10.21256/zhaw-3176 |
| 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): | 31 |
| Pages to: | 45 |
| 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: | Team; Organization; Education; Skillset; Data science; History; Career development |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | What is a data scientist? How can you become one? How can you form a team of data scientists that fits your organization? In this chapter, we trace the skillset of a successful data scientist and define the necessary competencies. We give a disambiguation to other historically or contemporary definitions of the term, and show how a career as a data scientist might get started. Finally we will answer the above mentioned third question, i.e. how to build analytics teams within a data-driven organization. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/17426 |
| 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_DataScientists.pdf | preprint | 411.61 kB | Adobe PDF |  View/Open |
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Stadelmann, T., Stockinger, K., Heinatz-Bürki, G., & Braschler, M. (2019). Data scientists. In M. Braschler, T. Stadelmann, & K. Stockinger (Eds.), Applied data science : lessons learned for the data-driven business (pp. 31–45). Springer. https://doi.org/10.1007/978-3-030-11821-1_3
Stadelmann, T. et al. (2019) ‘Data scientists’, in M. Braschler, T. Stadelmann, and K. Stockinger (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 31–45. Available at: https://doi.org/10.1007/978-3-030-11821-1_3.
T. Stadelmann, K. Stockinger, G. Heinatz-Bürki, and M. Braschler, “Data scientists,” in Applied data science : lessons learned for the data-driven business, M. Braschler, T. Stadelmann, and K. Stockinger, Eds. Cham: Springer, 2019, pp. 31–45. doi: 10.1007/978-3-030-11821-1_3.
STADELMANN, Thilo, Kurt STOCKINGER, Gundula HEINATZ-BÜRKI und Martin BRASCHLER, 2019. Data scientists. In: Martin BRASCHLER, Thilo STADELMANN und Kurt STOCKINGER (Hrsg.), Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 31–45. ISBN 978-3-030-11821-1
Stadelmann, Thilo, Kurt Stockinger, Gundula Heinatz-Bürki, and Martin Braschler. 2019. “Data Scientists.” In Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler, Thilo Stadelmann, and Kurt Stockinger, 31–45. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_3.
Stadelmann, Thilo, et al. “Data Scientists.” Applied Data Science : Lessons Learned for the Data-Driven Business, edited by Martin Braschler et al., Springer, 2019, pp. 31–45, https://doi.org/10.1007/978-3-030-11821-1_3.
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