Getting started with Stata

This course is introductory and gets you started in Stata and Data Analysis. Hence, I do not expect that you have any background in data analysis, statistics, or econometrics.

Here are the Learning Outcomes.

• After completing this course, you will be able to use Stata with confidence. We will focus on version 18 – but older versions of Stata will be perfectly fine.

• You will develop a solid understanding of applied Data Analysis, including data wrangling, outlier detection, and regression analysis.

• And finally, you will get exposure to coding in Stata. This refers to so-called do-files, which are amazing for replicating your workflow.

The introduction provides a brief overview of the aims and scope of the course. Then we move into Data Wrangling, focusing on data imports, merging and transformations. I will teach you how to use do-files to simplify your workflows. Then, we explore our data using Descriptive Analysis. Section 5 introduces Regression Analysis. We will learn that many assumptions are made in the process of regression analysis. Section 6 explores violations of assumptions, including Heteroskedasticity and endogeneity. Tests and methods to address the issues are discussed in detail. Section 7 introduces panel data models, including fixed and random effects. Then, we move into binary choice models, i.e., explaining yes/no events or decisions. We conclude with a section on model specification and parameter stability.

I believe that this course will be more than sufficient for most applied work in social science. I promise that the course is very applied and provides a hands-on experience in data analysis.

There are 34 videos, and I will continue adding content depending on your feedback. The course also contains 5 exercises with guidance, which will help you to practice the tools discussed.

Enjoy the Joy of Data Analysis!