The role of statistics in data science is vital, as it forms the foundation for analyzing and interpreting data effectively. Statistics helps data scientists understand patterns, relationships, and trends within datasets, enabling them to make informed decisions and predictions. From hypothesis testing to probability and regression analysis, statistical methods ensure that conclusions drawn from data are accurate and reliable. In essence, the role of statistics in data science is to transform raw data into meaningful insights that drive smarter business and research outcomes.