Data Science is Here: Are We Ready to Benefit From the Opportunities It Provides?

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Author(s): Dimitar Grozdanov Christozov (American University in Bulgaria, Bulgaria), Katia Rasheva-Yordanova (University of Library Studies and Information Technologies, Bulgaria)and Stefka Toleva-Stoimenova (University of Library Studies and Information Technologies, Bulgaria)
Copyright: 2020
Pages: 20
Source title: Examining the Roles of Teachers and Students in Mastering New Technologies
Source Author(s)/Editor(s): Eva Podovšovnik (University of Primorska, Slovenia)
DOI: 10.4018/978-1-7998-2104-5.ch005

Keywords: Blended & Mobile Learning / Education / Educational Technologies / Information Science Reference

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Abstract

With the advent of big data, the search for respective data experts has become more intensive. This study aims to discuss data scientist skills and some topical issues that are related to data specialist profiles. A complex competence model has been deployed, dividing the skills into three groups: hard, soft, and analytical skills. The primary focus is on analytical thinking as one of the key competences of the successful data scientist taking into account the trans-discipline nature of data science. The chapter considers a new digital divide between the society and this small group of people that make sense out of the vast data and help the organization in informed decision making. As data science training needs to be business-oriented, the curricula of the Master's degree in Data Science is compared with the required knowledge and skills for recruitment.

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Data Science is Here: Are We Ready to Benefit From the Opportunities It Provides?

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