Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3176
Title: Data scientists
Authors : Stadelmann, Thilo
Stockinger, Kurt
Heinatz-Bürki, Gundula
Braschler, Martin
et. al : No
Published in : Applied data science : lessons learned for the data-driven business
Pages : 31
Pages to: 45
Editors of the parent work: Braschler, Martin
Stadelmann, Thilo
Stockinger, Kurt
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Cham
Issue Date: 14-Jun-2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Editorial review
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.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Book Part
DOI : 10.21256/zhaw-3176
10.1007/978-3-030-11821-1_3
ISBN: 978-3-030-11821-1
978-3-030-11820-4
URI: https://digitalcollection.zhaw.ch/handle/11475/17426
Appears in Collections:Publikationen School of Engineering

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