Random Variables & Distributions View more

Equip yourself with the tools to quantify and understand chance.

Book 28 Lessons

Course description

Random variables and their distributions are the best tools we have for quantifying and understanding unpredictability. This course covers their essential concepts as well as a range of topics aimed to help you master the fundamental mathematics of chance.

Upon completing this course, you'll have the means to extract useful information from the randomness pervading the world around us.

Topics covered

  • Bernoulli Trials
  • Binomial Distribution
  • Conditional Expectations
  • Covariance
  • Density Functions
  • Discrete and Continuous Distributions
  • Discrete and Continuous Random Variables
  • Expected Value
  • Joint Distributions
  • Normal Distribution
  • Standard Deviation
  • Variance

Prerequisites and next steps

You'll need an understanding of basic algebra, including functions, as well as fundamental probability. Calculus will be helpful for later chapters on continuous random variables.