Customer Data Analytics for Marketers

This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies. The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions. It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis. The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation. This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights

• Understand core statistical concepts and simple linear regression
• Use analytical tools to interpret marketing data
• Apply analytics to enhance marketing strategies
• Identify analytics ethics and avoid common pitfalls

• Basic understanding of marketing principles
• Previous exposure to probability and statistics helpful but not required