Apply Marketing Analytics for Data-Driven Decisions
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.
This course equips learners with practical marketing analytics skills required to make informed, data-driven marketing decisions in modern organizations. Learners will progress from understanding CRM and marketing decision frameworks to working with real-world marketing data, generating actionable insights, and applying predictive models such as logit models for retention and targeting. The course emphasizes how data analysis translates into meaningful marketing implications—focusing on who to target, how to engage customers, and how to allocate resources effectively.
Learners will benefit by developing analytical thinking, improving their ability to interpret marketing data, and gaining hands-on exposure to models widely used in industry. What makes this course unique is its strong integration of decision frameworks, real marketing datasets, and predictive modeling, ensuring learners not only understand analytics concepts but also know how to apply them in practical marketing contexts. This course is ideal for professionals and students seeking to strengthen their data-driven marketing decision-making capabilities.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML for Analytics
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Comparing Tools for Intelligent Demand Prediction in Retail
Dev.to AI
Implementing Intelligent Demand Prediction for Grocery Retail
Dev.to AI
Reverse ETL:What It Is, Use Cases, and How to Implement It
Dev.to · BladePipe
Building a Real Estate Data Pipeline That Aggregates 3,000+ Listings Daily from BizBuySell, CREXi &…
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI