Discrete probability deals with the likelihood of occurrence of outcomes in a finite or countably infinite sample space, where each outcome is distinct and separate. It is fundamental in understanding random variables that take on discrete values, such as the roll of a die or the flip of a coin, and is essential for calculating probabilities in scenarios where outcomes are distinct and non-overlapping.