Probability basics: The formal rules, sample spaces, events, axioms, that make "the chance of something" a well-defined number.
Leads to
Continuous random variables: A random variable that can take any value in a range, described by a density curve instead of a list of probabilities.
Expectation and variance: The long-run average value of a random variable, and how spread out it typically is around that average.
Common discrete distributions: The handful of discrete shapes, Bernoulli, Binomial, Poisson, Geometric, that keep showing up because they model real repeated-trial situations.
Related topics
Common discrete distributions: The handful of discrete shapes, Bernoulli, Binomial, Poisson, Geometric, that keep showing up because they model real repeated-trial situations.