Explore a comprehensive econometrics course covering essential topics in regression analysis, time series data, and statistical inference. Learn about the Gauss-Markov Theorem, multicollinearity, instrumental variables, heteroscedasticity, autocorrelation, and Bayesian econometrics. Dive into matrix algebra applications, asymptotic properties of estimators, and various econometric tests. Practice with real-world examples using OECD data and software like R and EViews. Gain hands-on experience through exercises and exam question reviews, enhancing your understanding of econometric modeling, estimation techniques, and hypothesis testing. Master the skills needed to analyze economic data, interpret results, and make informed decisions in this 14-hour course designed for economics and finance students.