About this course: 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.
Who is this class for: This course is designed for learners seeking knowledge about marketing analytics. It is recommended that the learner have knowledge of Microsoft Excel.
Created by: Emory University
Taught by: David Schweidel, Associate Professor of Marketing
Goizueta Business School
| Basic Info |
Course 6 of 6 in the
Foundations of Marketing Analytics Specialization.
|
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
Syllabus
WEEK 1
Marketing Analytics Project Description
This module will define the goals and activities for the marketing analytics capstone project.
2 readings
WEEK 2
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 re...
9 videos, 2 readings
Graded: "On-time" Loan Status versus "Risky" Loan Status
WEEK 3
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 whic...
3 readings, 1 practice quiz
WEEK 4
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 a...
1 reading, 1 practice quiz
Graded: Logistic Regression
WEEK 5
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 readings, 2 practice quizzes
Graded: Evaluating Combinations of Predictor Variables
WEEK 6
Congratulations!
This module provides a final congratulatory video from Professor David Schweidel.
1 video
FAQs
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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.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
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