数据科学一直是热门领域，数据分析师可以利用定量推理来制定公司战略，优化产品和结果，并提高利润。与此同时，数据科学的工具也被用于研究，以帮助理解金融、经济学和各种学术领域。本研究将通过数据科学的视角来分析商业实例。
数据科学是一个研究领域，涉及通过使用各种科学方法，算法和过程从大量数据中提取见解。它可以帮助您从原始数据中发现隐藏的模式。由于数理统计，数据分析和大数据的发展，数据科学这个术语已经出现。数据科学是一个跨学科领域，允许您从结构化或非结构化数据中提取知识。数据科学使您能够将业务问题转换为研究项目，然后将其转换回实用的解决方案。商业分析，英文为Business Analytics，简称BA，是以商业知识为基础，数理编程为手段，从数据分析出发，以决策优化来创造价值的新兴专业，实现 Big Data 的商业应用。麻省理工 Sloan 商学院对于 BA 项目的定位是这样的“Prepares students for careers that apply and manage modern data science to solve critical business challenges .”总结来说，就是通过对现代量化数据的管理和分析，从而对企业决策做出贡献。
Data science has always been a hot field, where data analysts can use quantitative reasoning to develop corporate strategies, optimize products and outcomes, and boost profits. At the same time, the tools of data science are also being used in research to help understand finance, economics, and various academic fields. This study will analyze business examples through a data science perspective.
Data science is a field of research that involves extracting insights from large amounts of data through the use of various scientific methods, algorithms, and processes. It can help you discover hidden patterns from raw data. Due to the development of mathematical statistics, data analytics and big data, the term data science has emerged. Data science is an interdisciplinary field that allows you to extract knowledge from structured or unstructured data. Data science enables you to turn business problems into research projects and then back into practical solutions. Business analysis, abbreviated as Business Analytics in English, is a new major based on Business knowledge, using mathematical programming as the means, starting from Data analysis and decision-making optimization to create value, so as to achieve the commercial application of Big Data. MIT Sloan school of business for the positioning of BA project is such "Prepares students for careers that apply and manage modern data science to solve critical Business challenges." In summary, it is through the management and analysis of modern quantitative data, so as to contribute to enterprise decision-making.