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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/business-analytics-decision-making
课程评论：没有评论
课程名称：决策制定中的商业分析 课程概述：本课程将教你如何创建决策模型。我们将从聚类分析开始，这是一种非常有用的数据简化技术，适用于市场细分。接下来，你将学习蒙特卡洛模拟的基础知识，这有助于你建模许多商业决策中普遍存在的不确定性。决策的一个关键要素是识别最佳的行动方案。由于商业问题往往有太多的替代解决方案，你将学习如何通过优化来帮助你确定最佳选项。值得一提的是，本课程不需要掌握计算机语言或高级统计知识，具备基础的Excel知识和Analytic Solver Platform的使用即可。参与作业的学习者将能够免费访问Analytic Solver Platform。 课程大纲： 1. 数据探索与简化 — 聚类分析 2. 处理不确定性与风险分析 3. 确定最佳选项 — 优化 - 课程结束时学生应该能够：1. 为优化问题开发一个电子表格模型 2. 使用Excel解决优化模型 3. 解释解决方案并进行假设分析 4. 决策分析 - 课程结束时学生应该能够：1. 针对商业情况应用适当的技术来识别最佳解决方案备选方案 2. 制定并解决需要是/否决策和逻辑约束的商业问题模型 3. 创建将技术和工具（如模拟和优化）混合使用的模型，分析和解释结果以做出明智的决策
Name:Data Exploration and Reduction — Cluster Analysis
Description:
Name:Dealing with Uncertainty and Analyzing Risk
Description:
Name:Identifying the Best Options — Optimization
Description:At the end of this module students should be able to: 1. Develop a spreadsheet model for an optimization problem 2. Use Excel to solve optimization models 3. Interpret solutions and conduct what-if analysis
Name:Decision Analytics
Description:At the end of this module students should be able to: 1. Given a business situation, apply an appropriate technique to identify the best solution alternatives 2. Formulate and solve models for business problems that requires yes/no decisions and logical constraints 3. Create models that mix techniques and tools such as simulation and optimizationAnalyze and interpret results to make informed decisions
In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.
