Probability Fundamentals in R: Calculating Likelihood and Odds

Understanding probability is the key to making data-driven decisions and building predictive models. This written course introduces you to the mathematical concepts of chance and shows you how to implement them practically using the R programming language. By reading through clear explanations and working through practical written exercises, you will develop a strong intuition for probability. You will transition from understanding basic coin flips to writing clean R code that models complex scenarios, such as estimating lottery odds. What you'll learn: Understand the fundamental differences between theoretical and experimental probability; Calculate permutations and combinations to determine sample spaces; Write clean R code to simulate random events and gather empirical data; Apply probability rules to calculate the odds of complex, multi-stage events; Analyze real-world scenarios, such as lottery odds, using mathematical modeling in R; Practice modern R coding conventions to ensure your scripts are reproducible. The curriculum begins with foundational terminology and basic concepts of chance before advancing to practical calculations and coding simulations. This course is designed for absolute beginners with no prior background in statistics or programming. Start reading today to build a solid mathematical foundation for your data science journey.