Data Science Fundamentals for Marketers

Modern marketing relies on data, yet turning raw numbers into actionable growth strategies can feel daunting without the right analytical foundation. This course equips marketers with core data science concepts tailored specifically to marketing analytics and strategy. You will build confidence in understanding marketing metrics, structuring customer datasets, and interpreting analytical models to optimize your return on investment. What you'll learn: - Understand foundational data science terminology, data types, and core marketing metrics - Analyze customer acquisition, churn rates, and customer lifetime value (LTV) - Apply data-driven audience segmentation and cohort analysis techniques - Evaluate multi-touch attribution models and marketing mix principles - Interpret A/B testing and statistical significance to validate campaign results - Explore modern predictive modeling concepts and automated analytical workflows The course begins with foundational vocabulary and analytical frameworks before advancing into customer segmentation, conversion tracking, and predictive insights through clear written walkthroughs and exercises. This course is designed for marketing professionals, content strategists, and beginners with no prior programming or data science background. Start reading today to turn marketing data into clear, revenue-driving decisions.