论文标题
透视图
Data Science in Perspective
论文作者
论文摘要
无论是在科学领域还是商业领域的项目中，数据和科学在产生的产生中都脱颖而出。 CERN项目，科学机构，诸如沃尔玛，Google，Apple等公司，需要数据来呈现其结果并在竞争性数据界做出预测。数据和科学是在全球认可的数据科学术语中加在一起的词。数据科学处于初始阶段，可能是正式科学的一部分，并且也作为应用科学的一部分，能够产生价值和支持决策。数据科学认为科学，因此是通过数据情报促进决策的科学方法。在许多情况下，在科学领域（社会科学，生物信息学，地理空间项目）或商业领域（财务，物流，零售）等中，在数据科学项目中考虑了该方法（或部分）的应用。从这个意义上讲，本文考虑了科学和科学方法的数据科学视角及其正式结构，这些方法及其正式结构，这些结构整合了统计，计算机科学和商业科学，还考虑了人工智能，强调机器学习等。本文还涉及应用数据科学的观点，因为数据科学用于通过科学和商业项目来产生价值。文章中还讨论了数据科学角色，涉及数据科学专业人员及其相应概况，因为其投影改变了世界上的数据领域。
Data and Science has stood out in the generation of results, whether in the projects of the scientific domain or business domain. CERN Project, Scientific Institutes, companies like Walmart, Google, Apple, among others, need data to present their results and make predictions in the competitive data world. Data and Science are words that together culminated in a globally recognized term called Data Science. Data Science is in its initial phase, possibly being part of formal sciences and also being presented as part of applied sciences, capable of generating value and supporting decision making. Data Science considers science and, consequently, the scientific method to promote decision making through data intelligence. In many cases, the application of the method (or part of it) is considered in Data Science projects in scientific domain (social sciences, bioinformatics, geospatial projects) or business domain (finance, logistic, retail), among others. In this sense, this article addresses the perspectives of Data Science as a multidisciplinary area, considering science and the scientific method, and its formal structure which integrate Statistics, Computer Science, and Business Science, also taking into account Artificial Intelligence, emphasizing Machine Learning, among others. The article also deals with the perspective of applied Data Science, since Data Science is used for generating value through scientific and business projects. Data Science persona is also discussed in the article, concerning the education of Data Science professionals and its corresponding profiles, since its projection changes the field of data in the world.
