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

Apply Marketing Analytics for Data-Driven Decisions

Instructor: EDUCBA
Access provided by L&T Corp - ATLNext
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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