Bayesian methods provide a probabilistic framework for updating beliefs in the presence of new data, using Bayes' theorem as the core principle. These methods are particularly powerful for incorporating prior knowledge and handling uncertainty in complex models, making them widely applicable in fields like statistics, machine learning, and data science.