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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-mba-in-business-analysis/
课程评论：没有评论
课程名称：商业分析完全MBA 课程概述： 在这一课程中，您将深入学习商业分析的核心概念与实际应用。分析被定义为充分利用数据、统计和定量分析、解释性与预测模型以及基于事实的管理来推动决策和行动。这不仅仅是逻辑分析中使用的分析方法或技术，而是一个将数据转化为决策行动的过程，旨在帮助组织进行问题解决和决策制定。 课程内容涵盖多种活动，包括商业智能、标准及特设报告、查询与警报，以及定量方法如统计分析、预测、预测建模（如数据挖掘）、优化和模拟。课程的第一部分将重点介绍如何利用数据开发洞察力和预测能力，涉及机器学习、数据挖掘和预测技术。第二部分则专注于在大量备选方案和商业约束条件下，如何利用优化方法支持决策。 此外，课程将探讨在组织中实施分析方法时可能会遇到的挑战。课程强调，商业分析不是一种理论学科，只有在能够提供实际洞察并提高决策的速度、可靠性和质量时，这些技术才具有意义。课程所学的概念将帮助您识别商业分析在提升业绩和支持重要决策中的应用机会，同时也让您警惕分析在组织内部可能的使用和误用方式。
Analytics has been defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. Analysis is more than just analytical methodologies or techniques used in logical analysis. It is a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving. Analytics includes a range of activities, including business intelligence, which is comprised of standard and ad hoc reports, queries and alerts; and quantitative methods, including statistical analysis, forecasting/ extrapolation, predictive modeling (such as data mining), optimization and simulation.In this course, you will learn to identify, evaluate, and capture business analytic opportunities that create value. Toward this end, you will learn basic analytic methods and analyze case studies on organizations that successfully deployed these techniques. In the first part of the course, we focus on how to use data to develop insights and predictive capabilities using machine learning, data mining and forecasting techniques. In the second part, we focus on the use of optimization to support decision-making in the presence of a large number of alternatives and business constraints. Finally, throughout the course, we explore the challenges that can arise in implementing analysis approaches within an organization.The course emphasizes that business analysis is not a theoretical discipline: these techniques are only interesting and important to the extent that they can be used to provide real insights and improve the speed, reliability, and quality of decisions. The concepts learned in this class should help you identify opportunities in which business analytics can be used to improve performance and support important decisions. It should make you alert to the ways that analysis can be used and misused within an organization.
