Data Analytics Methods for Marketing
Master marketing analytics techniques for audience segmentation, planning, and optimization using data-driven methods.
Master marketing analytics techniques for audience segmentation, planning, and optimization using data-driven methods.
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 Meta Marketing Analytics Professional Certificate or Meta Marketing Science Certification Prep 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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Instructors:
English
پښتو, বাংলা, Tiếng Việt, 3 more
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What you'll learn
Use segmentation and clustering to identify target audiences
Apply linear regression for marketing planning and forecasting
Evaluate advertising effectiveness using A/B testing
Optimize marketing mix using attribution models
Analyze and improve sales funnel performance
Skills you'll gain
This course includes:
4.15 Hours PreRecorded video
14 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course explores advanced marketing analytics methods including audience segmentation, clustering, and marketing mix modeling. Students learn to use linear regression for marketing planning and forecasting, evaluate advertising effectiveness through experiments, and optimize sales funnels. The curriculum covers practical applications of data analytics in marketing, from defining target audiences using K-means clustering to assessing campaign performance through A/B testing.
Find Your Audience With Segmentation
Module 1 · 3 Hours to complete
Analytics for Planning and Forecasting
Module 2 · 2 Hours to complete
Evaluating Advertising Effectiveness
Module 3 · 1 Hours to complete
Optimizing Your Marketing Mix
Module 4 · 4 Hours to complete
Fee Structure
Instructor
CEO & Co-Founder Aptly, Adj. Professor, UCLA Anderson School of Management
Anke, CEO & Co-Founder of Aptly, built Udacity’s Biz School to 17K+ students, teaches at UCLA, and led teams at Yahoo! & Jump-Time.
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.