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Erschienen in:
2023 | OriginalPaper | Buchkapitel
11. Professional Skills and Soft Skills in Data Science
verfasst von : Orit Hazzan, Koby Mike
Erschienen in: Guide to Teaching Data Science
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Abstract
In this chapter, we highlight skills that are required to deal with data science in a meaningful manner. The chapter describes two kinds of skills: professional skills (Sect. 11.2) and soft skills (Sect. 11.3). Professional skills are specific skills that are needed in order to engage in data science, while soft skills are more general skills that acquire unique importance in the context of data science. In each section, we address both cognitive, organizational, and technological skills. The chapter also offers exercises to practice the skills discussed and it ends with several teaching notes (Sect. 11.4). The discussion about data science skills is especially important today due to the increasing awareness of the fact that scientists and engineers in general, and data scientists in particular, should acquire professional and soft skills, in addition to disciplinary and technical knowledge.