Foundational Statistics and Econometrics for Economic Analysis

Economic theory relies heavily on rigorous mathematical and statistical foundations, and mastering these concepts is the first step toward advanced quantitative analysis. This course provides a robust, text-based introduction to the essential statistical techniques, econometric modeling principles, and mathematical frameworks necessary for analyzing economic data and understanding complex economic relationships. What you'll learn: * Understand core concepts in descriptive statistics, probability theory, and common distribution functions. * Apply optimization techniques from calculus to solve basic problems in consumer and producer theory. * Master the principles of Ordinary Least Squares (OLS) estimation and interpret the results of simple and multiple linear regression models. * Practice hypothesis testing and diagnostic checking to ensure the validity and reliability of econometric models. * Explore introductory concepts in time series analysis, including stationarity and basic autoregressive processes. * Configure and interpret results related to fundamental violations of OLS assumptions, such as heteroskedasticity and autocorrelation. The material begins with statistical fundamentals and mathematical optimization before progressing into the theory and application of linear regression and basic econometric modeling. Written explanations are paired with conceptual exercises and derived formulas to solidify understanding. This comprehensive course is designed for absolute beginners interested in economics, finance, or data science who have no prior knowledge of econometrics or advanced statistics. No prerequisites are required beyond basic algebra. Start building your quantitative foundation for economic study today.