This course will introduce you to the concept of decision-making under uncertainty, which is the process of choosing among alternatives when there is incomplete or imperfect information about the outcomes and consequences of each option. You will learn about the tools and techniques of data analysis and statistics that can help you quantify and reduce uncertainty, evaluate risks and rewards, and make evidence-based decisions. You will also learn how to communicate and present your decisions and insights using data visualization and storytelling.