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The human side of big data: Understanding the skills of the data scientist in education and industry

机译:大数据的人类:了解教育和工业数据科学家的技能

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It is widely recognized by public and private organizations, that the biggest challenge faced in light of the data revolution is finding people with the required set of skills to transform data into actionable insight. The growing interest on the role of the data scientist and the relating data analytics skills has seen an increasing amount of research on the importance of data analytics skills in the contemporary working environment. Yet, there is still limited understanding on the importance of data analytic skills, and even more, there is limited research on the discrepancies between the skills that are needed in the market and what graduates possess. To this end, this research uses a mixed-methods approach combining quantitative survey data from 113 IT executives, and qualitative interview data from 27 big data project managers to explore the significance, discrepancies, and aspects of data analytic skills. Our results show that data analytic skills significantly contribute firm performance, particularly for firms that are data-oriented. In addition, we find that the need for skills greatly exceeds those that graduates possess. Lastly, our analysis suggests that the data skills of the data scientist span multiple subject areas which are further discussed.
机译:它被公共和私人组织得到了广泛的认可,即根据数据革命的最大挑战,正在寻找有必要的技能组成的人,将数据转化为可操作的洞察力。对数据科学家的作用和相关数据分析技能的兴趣越来越令人越来越多地研究了当代工作环境中数据分析技能的重要性。然而,对数据分析技能的重要性仍然有限的了解,甚至更多,研究市场所需技能与毕业生所需的技能之间的差异有限。为此,本研究采用了混合方法方法,将量化调查数据与来自113个IT高管的定量调查数据相结合,以及来自27个大数据项目管理者的定性访谈数据,以探索数据分析技能的重要性,差异和方面。我们的结果表明,数据分析技能显着贡献了坚定的性能,特别是对于以数据为导向的公司。此外,我们发现对技能的需求大大超过了毕业生拥有的技能。最后,我们的分析表明,数据科学家的数据技能跨越了进一步讨论的多个主题区域。

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