This paper explores the role of Data Science in modern economic analysis. We discuss key methodologies, including machine learning, econometrics, and big data analytics, and their applications in economic forecasting, market analysis, and policy evaluation. Additionally, we highlight challenges such as data quality, ethical concerns, and computational complexity. The study concludes with future research directions and potential advancements in integrating Data Science with economic modeling.