数据科学：全面概述
Data Science: A Comprehensive Overview
摘要：
21世纪迎来了大数据和数据经济时代，在这个时代，数据DNA承载着重要的知识、洞察力和潜力，已成为所有基于数据的生物体的内在组成部分。对数据DNA及其有机体的适当理解依赖于数据科学的新领域及其基石分析。尽管人们广泛争论大数据是否只是炒作和嗡嗡声，数据科学仍处于非常早期的阶段，但重大的挑战和机遇正在出现，或者受到数据科学研究，创新，商业，专业和教育的启发。本文提供了数据科学基本方面的全面调查和教程：从数据分析到数据科学的演变，数据科学的概念，数据科学时代的大图景，数据创新的主要挑战和方向，数据分析的性质，数据经济中的新工业化和服务机会，数据教育的专业和能力，以及数据科学的未来这篇文章是该领域第一篇全面描绘全局的文章，此外还提供了关于数据科学和分析的丰富观察、经验教训和思考。
英文摘要：
The twenty-first century has ushered in the age of big data and data economy, in which data DNA, which carries important knowledge, insights and potential, has become an intrinsic constituent of all data-based organisms. An appropriate understanding of data DNA and its organisms relies on the new field of data science and its keystone, analytics. Although it is widely debated whether big data is only hype and buzz, and data science is still in a very early phase, significant challenges and opportunities are emerging or have been inspired by the research, innovation, business, profession, and education of data science. This paper provides a comprehensive survey and tutorial of the fundamental aspects of data science: the evolution from data analysis to data science, the data science concepts, a big picture of the era of data science, the major challenges and directions in data innovation, the nature of data analytics, new industrialization and service opportunities in the data economy, the profession and competency of data education, and the future of data science. This article is the first in the field to draw a comprehensive big picture, in addition to offering rich observations, lessons and thinking about data science and analytics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
