Marketing Data Science Fundamentals

In a world driven by data, marketers who can interpret and act on information have a significant competitive advantage. This course provides a solid foundation in the concepts and workflows required to analyze marketing datasets, predict customer behavior, and optimize campaign ROI through evidence-based decision-making. You will gain the skills to move beyond basic reporting and start using data to drive growth. By understanding how to structure marketing problems as data science questions, you can unlock deeper insights into consumer patterns and market trends. What you'll learn: - Understand core marketing data terminology and foundational analytical concepts - Apply statistical methods to measure campaign effectiveness and customer engagement - Analyze customer segmentation using clustering techniques to improve targeting - Predict customer lifetime value and churn using modern predictive modeling patterns - Interpret marketing attribution models to allocate budgets more effectively - Practice data cleaning and preparation techniques specific to marketing datasets The course begins with essential definitions and data types before moving into practical applications like segmentation, predictive modeling, and performance measurement. It is designed for marketing professionals and students new to data science; no prior technical or coding experience is required. Start building your data-driven marketing skills today.