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The science of statistics versus data science: What is the future?

机译：统计数据与数据科学：未来是什么？

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摘要

The importance and relevance of the discipline of statistics with the merits of the evolving field of data science continues to be debated in academia and industry. Following a narrative literature review with over 100 scholarly and practitioner-oriented publications from statistics and data science, this article generates a pragmatic perspective on the relationships and differences between statistics and data science. Some data scientists argue that statistics is not necessary for data science as statistics delivers simple explanations and data science delivers results. Therefore, this article aims to stimulate debate and discourse among both academics and practitioners in these fields. The findings reveal the need for stakeholders to accept the inherent advantages and disadvantages within the science of statistics and data science. The science of statistics enables data science (aiding its reliability and validity), and data science expands the application of statistics to Big Data. Data scientists should accept the contribution and importance of statistics and statisticians must humbly acknowledge the novel capabilities made possible through data science and support this field of study with their theoretical and pragmatic expertise. Indeed, the emergence of data science does pose a threat to statisticians, but the opportunities for synergies are far greater.
机译：统计数据的重要性和相关性与演变的数据科学领域的优点继续在学术界和工业中辩论。在叙事文献审查统计和数据科学的100多个学术和从业者的出版物之后，本文为统计和数据科学之间的关系和差异产生了语用的视角。一些数据科学家认为，数据科学不是必需的，因为统计数据提供简单的解释和数据科学提供结果。因此，本文旨在刺激这些领域的学者和从业者之间的辩论和话语。调查结果揭示了利益相关者接受统计和数据科学科学内的固有优缺点。统计学科学使数据科学（AIVESIDES的可靠性和有效性）实现了数据科学，并且数据科学将统计数据的应用扩展到大数据。数据科学家应该接受统计和统计人员的贡献和重要性，必须谦卑地承认通过数据科学的新功能，并支持这一研究领域，以其理论和务实的专业知识。实际上，数据科学的出现确实对统计人员构成威胁，但协同效应的机会远远大。

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