關於此課程：Marketers must make the best decisions based on the information presented to them. Rarely will they have all the information necessary to predict what consumers will do with complete certainty. By incorporating uncertainty into the decisions that they make, they can anticipate a wide range of possible outcomes and recognize the extent of uncertainty on the decisions that they make. In Incorporating Uncertainty into Marketing Decisions, learners will become familiar with different methods to recognize sources of uncertainty that may affect the marketing decisions they ultimately make. We eschew specialized software and provide learners with the foundational knowledge they need to develop sophisticated marketing models in a basic spreadsheet environment. Topics include the development and application of Monte Carlo simulations, and the use of probability distributions to characterize uncertainty.

此課程適用人群：Prerequisites: It is recommended that you complete the "Meaningful Marketing Insights" course offered by Coursera before starting this course. Learners should have the ability to extract information from the data available and make meaningful insights, understanding of regression methods, and basic knowledge of Microsoft Excel.

製作方： Emory University

教學方： David Schweidel, Associate Professor of Marketing
Goizueta Business School

基本信息	課程 2（共 6 門，Foundations of Marketing Analytics Specialization ）
級別	中級
語言	英語（English）
如何通過	通過所有計分作業以完成課程。
用戶評分	4.2 星平均用戶評分 4.2查看學生的留言

授課大綱

第 1 週

Randomness and Probability

Module 1 focuses on developing an understanding where randomness appears in marketing problems. You will learn basic rules for calculating the probability of outcomes. We will also examine how these rules can be applied to determine the value of information

3 個視頻, 2 個閱讀材料

視頻: Applications of Randomness & Probability
視頻: Assessing the Value of Information
Reading: How Customer Analytics is Speeding the Cure for Parkinson's
Reading: Data Driven Donor Management

已評分: Module 1

第 2 週

Conducting Monte Carlo Simulations in Excel

Building on the basics of randomness and probability discussed in Module 1, we examine the use of Monte Carlo simulations for incorporating randomness into business problems. Using Microsoft Excel, we will build a tool that conducts a Monte Carlo simulation. We will use this tool to evaluate the best course of action for a particular business problem.

1 個視頻, 4 個閱讀材料

Reading: Inventory Exercise for Excel Demonstration
Reading: Explained: Monte Carlo Simulation
Reading: How Our 2016 MLB Predictions Work
Reading: The Advantages of Monte Carlo Simulations

已評分: Build-A-Game Assignment

第 3 週

Using Probability Distributions to Model Uncertainty

In Module 3, we look at the use of probability distributions as a means of characterizing uncertainty. We initially look at how uncertainty is incorporated into a general decision making framework. We then turn our attention to different probability distributions that can be used to model uncertainty, depending on the nature of the data. We examine the application of these probability distributions to assess the likelihood of events using features within Microsoft Excel.

5 個視頻, 1 個閱讀材料

視頻: Properties of Random Variables
視頻: Steps in Using Probability Functions
視頻: Normal Distribution & Other Probability Models
視頻: Warnings in Modeling Uncertainty
Reading: Employee Yield Worksheet

已評分: Module 3

第 4 週

Application: Designing Extended Service Warranty Plans

Building the the discussion of probability distributions in Module 3, we apply this knowledge to a specific application: the design of extended service warranty plans. We provide an overview of the business problem and discuss how to incorporate uncertainty in customers' use of the warranty plan using the Poisson distribution. Using Microsoft Excel, we design a spreadsheet tool that enables a user to adjust features of the service plans. By comparing firm profit under different scenarios, we investigate how different features of the service plan result in risk being shared by the consumer and the firm.

4 個視頻, 4 個閱讀材料

視頻: Company Constraints & Decisions
視頻: Questions to Investigate
Reading: Should You Get An Extended Warranty?
Reading: Don't Buy Extended Warranties
視頻: Extended Service Warranty Excel Exercise
Reading: Designing Extended Warranty Plans - Instructions & Excel Spreadsheet
Reading: Poisson Distribution Excel Sheet

已評分: Service Warranty Plans Peer Review

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運作方式

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

製作方

Emory University

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.

價格

	購買課程
訪問課程材料	可用
訪問評分的材料	可用
收到最終成績	可用
獲得可共享的課程證書	可用

評分和審閱

已評分 4.2，總共 5 個 33 評分

Just as other courses in the series, this course offers hands-on experience with statistical analysis and many opportunities to apply acquired learnings in practice.