数据分析的内容和方法

Sidharta Chatterjee
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引用次数: 0

摘要

在本文中,我们将讨论数据科学和数据分析的内容和方法:即分析师在处理数据时所采用的方法和机制。本文采用哲学方法分析数据和数据科学,窥探数据科学认识论的概念世界。论文还强调了分析师、工具和专业技术在数据科学中发挥的作用,分析师利用这些工具和技术从数据中获取见解。讨论显示了与数据科学相关的复杂性,以及组织和企业通过何种机制和方式获得构成数据真正价值的见解,以及隐藏在数据集深处的构成组织资源和资产的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The What and How of Data Analysis
In this paper, we discuss about what and how of data science and data analysis: i.e., the approach and the mechanism that analysts employ while working with data. A Philosophical approach to analysis of data and data science has been undertaken those peeks into the conceptual world of aspects of the epistemology of data science. The paper also highlights the role played by analysts, tools, and specialized techniques that analysts employ in data science to derive insights from data. The discussion demonstrates the complexities associated with data science, and by what mechanism and how organizations and businesses draw insights that constitute the real value of data, and that which lay hidden deep within datasets constituting as a form of resource and asset for the organizations. 
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