Shannon's Information Theory is a mathematical framework for quantifying the amount of information in data, which laid the foundation for modern digital communication and data compression. It introduces key concepts such as entropy, which measures uncertainty, and the Shannon limit, which defines the maximum rate of error-free data transmission over a noisy channel.