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Machine Learning for Marketers

Marketing ML Mastery: Apply Predictive Models and Customer Behavior Analytics to Create Data-Driven Campaigns and Boost Results

Marketing ML Mastery: Apply Predictive Models and Customer Behavior Analytics to Create Data-Driven Campaigns and Boost Results

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 Data Science 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.

Instructors:

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Machine Learning for Marketers

This course includes

21 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Apply supervised learning for strategic marketing decisions

  • Implement CART tree analysis for customer segmentation

  • Enhance prediction accuracy using advanced algorithms

  • Develop recommendation systems for personalized marketing

  • Use unsupervised learning for market pattern discovery

Skills you'll gain

Machine Learning
Predictive Analytics
Customer Segmentation
CART Analysis
Data Visualization
Campaign Analysis
Supervised Learning
Unsupervised Learning
Marketing Strategy
Cross-Validation

This course includes:

2.2 Hours PreRecorded video

29 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course focuses on applying machine learning techniques to marketing challenges. Students learn both supervised and unsupervised learning methods, including CART trees, random forests, and principal components analysis. The curriculum covers practical applications such as customer segmentation, campaign response prediction, and recommendation systems. Through hands-on exercises and case studies, participants develop skills in model evaluation, cross-validation, and implementing advanced machine learning algorithms for marketing decision-making.

Supervised Learning for Strategic Marketing

Module 1 · 3 Hours to complete

CART Tree Analysis

Module 2 · 5 Hours to complete

Improving the Accuracy of Predictions

Module 3 · 5 Hours to complete

Unsupervised Learning

Module 4 · 6 Hours to complete

Fee Structure

Instructors

A.W. Lukens
A.W. Lukens

4.6 rating

14 Reviews

6,509 Students

10 Courses

Expert in Cross-Functional Collaboration and Leadership Education

A.W. Lukens serves as a distinguished course developer and instructor at the University of Colorado System, specializing in cross-functional collaboration and leadership development. Their expertise is demonstrated through a comprehensive suite of courses on Coursera, focusing on both theoretical foundations and practical applications of collaborative leadership. Their flagship course "Facilitating and Leading Cross-Functional Collaboration" maintains high engagement rates and positive student feedback, teaching essential skills for effective team leadership and facilitation. The curriculum spans from fundamental concepts to advanced leadership techniques, including courses on machine learning applications in marketing and wilderness first aid. Their teaching approach emphasizes practical, hands-on learning experiences, requiring students to practice skills with real-world applications. Their course content is particularly valuable for both current leaders and those aspiring to leadership positions, with no prior experience required for entry-level courses. Through their diverse course offerings, they have established themselves as a leading voice in professional development education, combining traditional leadership principles with modern collaborative approaches

Tony Cox, Jr.
Tony Cox, Jr.

1,210 Students

4 Courses

Pioneering Data Analytics in Marketing

Dr. Tony Cox, Jr. is a prominent figure in the field of data analytics, specializing in marketing applications. With a robust academic background, he teaches courses such as Customer Data Analytics for Marketers, Machine Learning for Marketers, Regression Modeling for Marketers, and Time, Change, and Decisions for Marketing. His extensive experience includes over three decades in quantitative risk analysis and operations research, having held leadership positions in both academia and industry. Dr. Cox has contributed significantly to the development of advanced analytical methods that empower marketers to make informed decisions based on data-driven insights. His work not only enhances the understanding of customer behavior but also equips students with the skills necessary to navigate the complexities of modern marketing landscapes. Through his engaging teaching style and commitment to research, Dr. Cox inspires the next generation of marketing professionals to leverage data effectively in their strategies.

Machine Learning for Marketers

This course includes

21 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.