Discrete mathematics, a cornerstone of data science, provides the theoretical foundations for data analysis, modeling, and prediction. It encompasses set theory, logic, graph theory, combinatorics, number theory, and theoretical computer science, offering tools to extract insights from data. These concepts enable the development of algorithms, optimization techniques, and statistical methods that drive the advancements in data science.