Data Science for Marketing: Data-Driven Decision Making

In today's digital landscape, marketing is no longer about guesswork; it is driven by data. Understanding how to collect, analyze, and interpret customer data is essential for launching successful campaigns and driving business growth. This text-only course equips you with the foundational skills to apply data science techniques directly to marketing challenges. You will transition from relying on intuition to making strategic, data-backed decisions that optimize marketing spend and improve customer retention. What you'll learn: 1. Understand core data science terminology and foundational marketing analytics concepts. 2. Analyze customer datasets using modern Python libraries like pandas to segment audiences. 3. Apply predictive modeling basics to forecast customer churn and lifetime value. 4. Evaluate campaign performance using key statistical metrics and A/B testing principles. 5. Explore modern data workflows, including basic prompt engineering for marketing analysis and structured data preparation. The course begins with essential definitions and foundational concepts of marketing analytics before guiding you through practical data manipulation and predictive techniques. You will progress through clear, written explanations, practical code examples, and conceptual exercises designed to reinforce your learning. This course is designed for marketing professionals, business analysts, and beginners who want to introduce data science into their marketing strategy. No prior programming or data science experience is required. Start reading today to transform your marketing strategies with the power of data science.