This course provides a clear introduction to econometrics using Stata, making it ideal for students studying economics, finance, or data analysis. It is designed as a practical companion to a first-semester econometrics course, focusing on applying theoretical concepts using real data.

The course starts with the basics, including how to create and use do-files, as well as how to import and export datasets in Stata. You will then move on to fundamental statistical techniques such as hypothesis testing, where you will learn how to evaluate assumptions and interpret results.

A key part of the course focuses on comparing means and understanding statistical differences between groups. You will also explore regression analysis, one of the most important tools in econometrics, and learn how to interpret coefficients and results in a meaningful way.

In addition, the course introduces concepts like ESS, RSS, and TSS, helping you understand model performance and variance in regression analysis. You will also learn how to create and customize graphs to visualize your findings effectively.

By the end of this course, you will be ab