Probability and Combinatorics for Decision Making

In an uncertain world, the ability to calculate risks and predict outcomes is a superpower for data professionals, developers, and decision-makers alike. Understanding how events connect and how to count possibilities accurately forms the bedrock of modern data analysis and risk assessment. This text-based course guides you from absolute beginner to confidently analyzing chances and structuring complex counting problems. You will learn to break down uncertainty into clear, mathematical models using structured written explanations and step-by-step practical exercises. What you'll learn: 1. Understand foundational concepts of sample spaces, outcomes, and Venn diagrams. 2. Master counting techniques using factorials, permutations, and combinations. 3. Calculate simple, conditional, and independent probabilities for real-world events. 4. Apply systematic listing to solve complex decision-making problems. 5. Explore modern applications of probability in data analysis and basic predictive modeling. 6. Practice solving practical scenarios through structured, written step-by-step exercises. The course begins with key terminology and the basic rules of probability before progressing to advanced counting methods and practical decision-making scenarios. This course is designed for absolute beginners, requiring only basic arithmetic and no prior background in advanced mathematics or statistics. Start reading today to unlock the mathematical tools needed to navigate uncertainty with confidence.