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

Recommended experience
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
Details to know

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8 assignments
January 2026
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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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