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Supervised Learning and Its Applications in Marketing
Master Python-based machine learning for marketing analytics. Learn classification, regression, and practical applications in customer analysis.
Course Cost
Free course
Beginner
Skill Level
19 Hours
Self-paced lessons
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 Machine Learning for Marketing 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.
English
What you'll learn
Apply Python for supervised learning in marketing
Develop classification and regression models
Build product recommendation systems
Predict customer lifetime value
Implement customer churn prediction
Analyze marketing campaign effectiveness
Skills you'll gain
This course includes:
4 Hours PreRecorded video
36 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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CREATED BY
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There are 12 modules in this course
This comprehensive course explores supervised learning techniques and their practical applications in marketing. Students learn to develop and train machine learning models for classification and regression tasks using Python. The curriculum covers essential topics including customer behavior analysis, product recommendation systems, customer lifetime value prediction, and churn analysis. Through hands-on exercises and real-world examples, learners master the implementation of various algorithms from decision trees to artificial neural networks, gaining practical skills in deploying machine learning solutions for marketing challenges.
Introduction to Supervised Learning in Marketing
Module 1 · 2 Hours to complete
Getting Started With Supervised Learning in Marketing
Module 2 · 2 Hours to complete
Weekly Summative Assessment: Supervised Learning in Marketing
Module 3 · 1 Hours to complete
Deriving Insights from Data
Module 4 · 2 Hours to complete
Product Recommender System
Module 5 · 2 Hours to complete
Weekly Summative Assessment: Deriving Insights
Module 6 · 1 Hours to complete
Personalized Marketing
Module 7 · 2 Hours to complete
Customer Lifetime Value
Module 8 · 2 Hours to complete
Weekly Summative Assessment: Personalized Marketing
Module 9 · 1 Hours to complete
Retaining Customers
Module 10 · 1 Hours to complete
Deployment of Supervised Learning Models
Module 11 · 2 Hours to complete
Weekly Summative Assessment: Retaining Customers
Module 12 · 1 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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