Data science skills for the next generation of statisticians

Q3 Decision Sciences
Laura Antonucci, Antonio Balzanella, Elvira Bruno, Crocetta Crocetta, S. Zio, Lara Fontanella, M. Sanarico, Bruno Scarpa, Rosanna Verde, Giorgio Vittadini
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引用次数: 0

Abstract

This paper analyses the future prospects of statistics as a profession and how data science will change it. Indeed, according to Hadley Wickham, Chief Scientist at Rstudio, “a data scientist is a useful statistician”, establishing a strong connection between data science and applied statistics. In this direction, the aim is to look to the future by proposing a structural approach to future scenarios. Some possible definitions of data science are then discussed, considering the relationship with statistics as a scientific discipline. The focus then turns to an assessment of the skills required by the labor market for data scientists and the specific characteristics of this profession. Finally, the phases of a data science project are considered, outlining how these can be exploited by a statistician.
下一代统计人员的数据科学技能
本文分析了统计学作为一种专业的未来前景,以及数据科学将如何改变它。事实上,根据 Rstudio 首席科学家 Hadley Wickham 的说法,"数据科学家就是有用的统计学家",这在数据科学和应用统计之间建立了紧密的联系。在这一方向上,我们的目标是通过提出一种针对未来情景的结构性方法来展望未来。然后讨论了数据科学的一些可能定义,并考虑了与作为科学学科的统计学之间的关系。然后,重点转向评估劳动力市场对数据科学家所需的技能以及这一职业的具体特点。最后,考虑了数据科学项目的各个阶段,概述了统计学家如何利用这些阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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