Part 3 | Uncertainty in Data

Part 3 addresses the question that separates good analysis from great analysis: how do you know if what you're seeing is real? Every dataset contains random variation and measurement errors that can masquerade as a meaningful pattern. In this part you'll learn to quantify uncertainty and to distinguish genuine relationships from statistical noise using the Central Limit Theorem and the General Linear Model. Understanding the ideas with these tools will transform you from someone who can describe data into someone who can draw reliable conclusions from it.