By the end of this course, learners will be able to analyze real marketing data, apply structured decision frameworks, build and interpret predictive models, and evaluate customer targeting strategies using analytics-driven insights.
Apply Marketing Analytics for Data-Driven Decisions
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Analyze real marketing data using structured decision frameworks.
Build and interpret predictive models for customer targeting and retention.
Apply analytics insights to support data-driven marketing decisions.
Skills you'll gain
- Regression Analysis
- Marketing Strategies
- Exploratory Data Analysis
- Market Analysis
- Data-Driven Decision-Making
- Customer Data Management
- Customer Relationship Management (CRM) Software
- Predictive Modeling
- Logistic Regression
- Data Analysis
- Predictive Analytics
- Forecasting
- Strategic Marketing
- Customer Retention
- Customer Analysis
- Marketing Analytics
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Assessments
8 assignments
Taught in English
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There are 2 modules in this course
This module introduces learners to the foundations of marketing analytics by explaining how customer data, analytical frameworks, and real-world datasets are used to structure marketing problems, generate insights, and support data-driven decision-making.
What's included
8 videos4 assignments
This module focuses on predictive modeling techniques used in marketing analytics, including logit models, utility theory, likelihood estimation, and targeting strategies to support retention analysis and high-impact marketing decisions.
What's included
8 videos4 assignments
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