Business Analytics for Decision Making

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课程主页: https://www.coursera.org/archive/business-analytics-decision-making

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课程简介

University of Colorado Boulder

课程大纲

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

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课程详情

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.

用于决策的业务分析:在本课程中,您将学习如何创建决策模型。我们将从聚类分析开始,聚类分析是一种数据缩减技术,在市场细分中非常有用。然后,您将学习蒙特卡洛模拟的基础知识,这将帮助您对许多业务决策中普遍存在的不确定性进行建模。决策的关键要素是确定最佳行动方案。由于业务问题通常有太多替代解决方案,因此您将了解优化如何帮助您确定最佳选择。这门课程真正令人兴奋的是,您无需了解计算机语言或高级统计信息即可了解这些预测性和规范性分析模型。您只需具备分析求解器平台和Excel的基本知识即可。参加作业的学习者将能够免费访问Analytic Solver平台。

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