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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-big-data-for-business-intelligence/
课程评论：没有评论
**Coursera 课程总结：商业智能大数据导论** 本课程旨在为商业专业人士提供大数据分析在商业智能领域的入门级知识。 **核心理念：** * **数据驱动决策：** 现代管理者不再仅仅依赖经验和直觉，而是通过分析和处理数据来支持决策。 * **商业分析 (Business Analytics)：** 运用数据、信息技术、统计分析、量化方法及模型，帮助管理者深入了解业务运营，做出更明智、基于事实的决策。它是一个将数据转化为行动、分析和洞察的过程。 * **大数据应用：** 随着数据量的激增，大数据分析在提升企业洞察力和竞争力方面起着关键作用。 **课程内容概述：** 本课程不设详细的教学大纲，但将涵盖大数据分析在商业智能中的概念、方法和模型。通过八个模块的学习，学员将： * **理解大数据分析的价值：** 欣赏大数据分析在支持和加强商业决策方面的巨大潜力。 * **掌握基本分析能力：** 能够进行基础层面的商业分析实践。 **学习工具（示例）：** 课程将展示和提及多种常用的商业分析工具，包括： * Microsoft Excel * SAS, Minitab 等商业统计软件 * 集成数据与分析软件的商业智能套件 **学习模式：** * **模块化学习：** 课程共分为八个模块，循序渐进地介绍相关知识。 * **考前测验：** 每个模块都配有测验，以巩固学习效果。 **目标学员：** 任何对商业分析和大数据在商业决策中的作用感兴趣的学员，特别是尚未深入接触过相关技术的管理者和未来可能与数据分析专业人士合作的商业人士。
In recent years, analytics has become increasingly important in the world of business, particularly as organizations have access to more and more data. Managers today no longer make decisions based on pure judgment and experience; they rely on factual data and the ability to manipulate and analyze data to support their decisions. No matter what your academic business concentration is, you will most likely be a future user of analytics to some extent and work with analytics professionals. Business analytics, or simply analytics, is the use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight into their business operations and make better, fact-based decisions. Business analytics is "a process of transforming data into actions through analysis and insights in the context of organizational decision-making and problem-solving." Business analytics is supported by various tools, such as Microsoft Excel, commercial statistical software packages such as SAS or Minitab, and more complex business intelligence suites that integrate data with analytical software. The purpose of this course is to provide you with a basic introduction to the concepts, methods, and models used in big data analytics for business intelligence so that you will develop not only an appreciation for its capabilities to support and enhance business decisions but also the ability to use business analytics at an elementary level in your work. The course is spread over eight modules, and each module carries a quiz to reinforce the learning experience.
