Explore the fundamental principles of Econometrics in this comprehensive introductory course. Econometrics, the intersection of economics, mathematics, and statistical analysis, equips students with the tools to analyze real-world economic data and uncover meaningful insights. Through a balanced blend of theoretical concepts and practical applications, students will develop the skills necessary to model, estimate, and interpret economic relationships, while addressing issues of causality, endogeneity, and multicollinearity. Topics covered include regression analysis, hypothesis testing, model selection, time series analysis, and the application of econometric software. By the end of the course, students will possess the analytical acumen to assess economic theories empirically, make informed policy recommendations, and contribute to rigorous economic research. Whether aspiring economists, policymakers, or researchers, participants will gain a strong foundation in econometrics to navigate the complexities of quantitative analysis in economics.