關於此課程：This capstone project will give you an opportunity to apply what we have covered in the Foundations of Marketing Analytics specialization. By the end of this capstone project, you will have conducted exploratory data analysis, examined pairwise relationships among different variables, and developed and tested a predictive model to solve a marketing analytics problem. It is highly recommended that you complete all courses within the Foundations of Marketing Analytics specialization before starting the capstone course.
此課程適用人群：This course is designed for learners seeking knowledge about marketing analytics. It is recommended that the learner have 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 6（共 6 門，Foundations of Marketing Analytics Specialization ） |
| 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 |
授課大綱
第 1 週
Marketing Analytics Project Description
This module will define the goals and activities for the marketing analytics capstone project.
2 個閱讀材料
- Reading: Capstone Overview
- Reading: Pre-Readings
- Discussion Prompt: Pre-exercise Discussion
第 2 週
Exploratory Analysis
In this module, we will begin to examine individual variables and their relationship to the status of the loan. Note, this module includes review items from previous courses in the specialization. This content is not required, but recommended as content to revisit.
9 個視頻, 2 個閱讀材料
- Reading: Activity & Explanation of Review Content
- Discussion Prompt: Classifying Individuals
- Reading: Meaningful Marketing Insights - Parts 2 - 3
- 視頻: Meaningful Marketing Insights - Course Goals & Example 2: Performing Arts Centers
- 視頻: Meaningful Marketing Insights - Organizing Data
- 視頻: Meaningful Marketing Insights - The Motion Picture Industry
- 視頻: Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data
- 視頻: Meaningful Marketing Insights - Displaying Conditional Distributions
- 視頻: Meaningful Marketing Insights - Analyzing Qualitative Variables
- 視頻: Meaningful Marketing Insights - Steps in Constructing Histograms
- 視頻: Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data
已評分: "On-time" Loan Status versus "Risky" Loan Status
第 3 週
Data Preparation and Model Building
While there are many ways to build a classification model, we will focus on using logistic regression, a common tool for marketing problems in which the dependent variable is binary. We will begin by choosing a single predictor variable and then determine which other variables need to be added to our analysis. In this module, we will focus on developing alternative models that all have a single predictor.
3 個閱讀材料, 1 個練習測驗
- Reading: Data Preparation Instructions
- Discussion Prompt: Recoding the Variables
- Reading: Populating the Template
- 练习测验: Logistic Regression Practice
- Discussion Prompt: Analysis Review
- Reading: Review Forecasting Models for Marketing Decisions, Parts 1 - 3
第 4 週
Model Validation and Comparison
In the previous module, we estimated a model linking home ownership to whether or not a loan is considered risky. In this module, we will begin by assessing the accuracy of this model relative to a naïve model. We will then use this spreadsheet as a means of assessing how well the model performs when different predictors are used.
1 個閱讀材料, 1 個練習測驗
- Reading: Model Validation
- 练习测验: Model Validation
已評分: Logistic Regression
第 5 週
Incorporating Multiple Predictor Variables
In this module, we will generalize the logistic regression tool that was developed to include multiple predictor variables. We will also consider an alternative means of evaluating the performance of the model.
2 個閱讀材料, 2 個練習測驗
- Reading: Incorporating Additional Predictors
- 练习测验: Predictors
- Discussion Prompt: Predictors (Challenges and Questions)
- Reading: An Alternative Means of Evaluating Performance
- 练习测验: Logistic Regression
- Discussion Prompt: ROC Curve
已評分: Evaluating Combinations of Predictor Variables
第 6 週
Congratulations!
This module provides a final congratulatory video from Professor David Schweidel.
1 個視頻
常見問題解答
運作方式
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
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
