Emory University - Marketing Analytics Capstone Project
- Offered byCoursera
Marketing Analytics Capstone Project at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Marketing Analytics Capstone Project at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Marketing Analytics Capstone Project at Coursera Course details
- 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.
Marketing Analytics Capstone Project at Coursera Curriculum
Marketing Analytics Project Description
Capstone Overview
Pre-Readings
Exploratory Analysis
Meaningful Marketing Insights - Course Objectives & Example 1: Political Advertising
Meaningful Marketing Insights - Course Goals & Example 2: Performing Arts Centers
Meaningful Marketing Insights - Organizing Data
Meaningful Marketing Insights - The Motion Picture Industry
Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data
Meaningful Marketing Insights - Displaying Conditional Distributions
Meaningful Marketing Insights - Analyzing Qualitative Variables
Meaningful Marketing Insights - Steps in Constructing Histograms
Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data
Activity & Explanation of Review Content
Meaningful Marketing Insights - Parts 2 - 3
Data Preparation and Model Building
Data Preparation Instructions
Populating the Template
Review Forecasting Models for Marketing Decisions, Parts 1 - 3
Logistic Regression Practice
Model Validation and Comparison
Model Validation
Model Validation
Incorporating Multiple Predictor Variables
Incorporating Additional Predictors
An Alternative Means of Evaluating Performance
Predictors
Logistic Regression
Congratulations!
Congratulations
Marketing Analytics Capstone Project at Coursera Admission Process
Important Dates
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