Getting started with Stata

A First Course in Data Analysis

Ratings 4.61 / 5.00

What You Will Learn!

Being able to use Stata (Version 18 and older versions) with confidence
Develop a solid understanding of data analysis
Getting started with coding in Stata (do-files)
Learn about descriptive and regression analyses, which account for about 80% (or more) of consulting or policy-focused empirical research
Testing and detecting violations of OLS assumptions
Understand panel data estimation including fixed and random effects
Model binary dependent variables using logistic regressions
Detecting parameter stability
Deriving robust model specifications using a general-to-specific approach

Description

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!

Who Should Attend!

This course is for beginners who are new to data analysis
If you want to learn Stata, this course is a perfect fit
If you have no background in data analysis, this course offers a detailed introduction

TAKE THIS COURSE