Drunkard's Walk describes a random walk where a hypothetical "walker" takes a series of random steps. Each step's direction is unpredictable, resulting in a path that wanders without a clear destination, a fundamental concept in stochastic process. This simple model helps illustrate complex systems from physics to finance.