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Machine Learning for Marketers
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Machine Learning for Marketers

This course is part of Data Science for Marketing.

Course Cost

Free course

Intermediate

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 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.

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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

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Science for Marketing

Reviews

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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.

Machine Learning for Marketers

Intermediate

Skill Level

19 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.