Marketing Analytics Capstone Project
Apply advanced marketing analytics techniques through a comprehensive project focused on predictive modeling and data analysis.
Apply advanced marketing analytics techniques through a comprehensive project focused on predictive modeling and data analysis.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Marketing Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Conduct comprehensive exploratory data analysis
Develop and validate predictive models
Evaluate model performance and accuracy
Apply logistic regression techniques
Create data-driven marketing solutions
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This capstone project applies concepts from the Foundations of Marketing Analytics specialization to solve real marketing problems. Students conduct exploratory data analysis, examine variable relationships, and develop predictive models using logistic regression. The curriculum covers data preparation, model building, validation techniques, and performance evaluation. Through hands-on analysis, participants learn to create and assess multiple predictor models for marketing decision-making.
Marketing Analytics Project Description
Module 1 · 1 Hours to complete
Exploratory Analysis
Module 2 · 4 Hours to complete
Data Preparation and Model Building
Module 3 · 1 Hours to complete
Model Validation and Comparison
Module 4 · 1 Hours to complete
Incorporating Multiple Predictor Variables
Module 5 · 2 Hours to complete
Congratulations
Module 6 · 0 Minutes to complete
Instructor
Expert in Marketing and Consumer Analytics
David A. Schweidel is an Associate Professor of Marketing at Emory University, focusing on customer relationship management and social media analytics. He has published extensively and authored two books on leveraging consumer data for marketing.
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4.5 course rating
29 ratings
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