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.
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市场分析基础 專項課程艾莫利大学課程信息
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第 6 門課程（共 6 門）
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完成時間大約為12 小時
英語（English）
字幕：英語（English）
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 6 門課程（共 6 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為12 小時
英語（English）
字幕：英語（English）
提供方
艾莫利大学
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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 1 小時
Marketing Analytics Project Description
This module will define the goals and activities for the marketing analytics capstone project.
完成時間為 1 小時
2 個閱讀材料
2 個閱讀材料
Capstone Overview15分鐘
Pre-Readings30分鐘
完成時間為 4 小時
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.
完成時間為 4 小時
9 個視頻 （總計 91 分鐘）, 2 個閱讀材料, 1 個測驗
9 個視頻
Meaningful Marketing Insights - Course Goals & Example 2: Performing Arts Centers8分鐘
Meaningful Marketing Insights - Organizing Data10分鐘
Meaningful Marketing Insights - The Motion Picture Industry12分鐘
Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data13分鐘
Meaningful Marketing Insights - Displaying Conditional Distributions4分鐘
Meaningful Marketing Insights - Analyzing Qualitative Variables3分鐘
Meaningful Marketing Insights - Steps in Constructing Histograms11分鐘
Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data14分鐘
2 個閱讀材料
Activity & Explanation of Review Content45分鐘
Meaningful Marketing Insights - Parts 2 - 340分鐘
完成時間為 2 小時
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.
完成時間為 2 小時
3 個閱讀材料
3 個閱讀材料
Data Preparation Instructions20分鐘
Populating the Template20分鐘
Review Forecasting Models for Marketing Decisions, Parts 1 - 310分鐘
1 個練習
Logistic Regression Practice6分鐘
完成時間為 1 小時
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.
完成時間為 1 小時
1 個閱讀材料
1 個閱讀材料
Model Validation20分鐘
1 個練習
Model Validation5分鐘
關於 市场分析基础 專項課程
In this specialization you will learn how to:
• Find, extract, organize and describe data to support business decisions
• Identify, quantify and interpret relationships between variables
• Derive customer insights from your data
• Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions
• Present and justify a course of action to management
The capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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