Need to learn Stata? Our training page describes our inperson classes and our online curriculum you can work through on your own schedule.

Data Wrangling
“Data Wrangling” is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else that needs to be done before it can be analyzed. Data wrangling is a critical skill for quantitative research.

Analysis
 Stata Regression Fundamentals
 Regression Diagnostics with Stata
 Tables in Stata
 Propensity Score Matching in Stata using teffects
 Multiple Imputation in Stata
 Exploring Regression Results using Margins
 Bootstrapping in Stata
 An Introduction to Mata
 Speeding up Multiple Imputation in Stata using Parallel Processing
 Making Predictions with CounterFactual Data in Stata
 Stata Programming Tools
 Panel Models in Stata and R

Stata for Students
These articles are designed for undergraduates taking social science statistics classes, but can be a useful reference for anyone.
 Stata for Students
 Introduction
 Where You Can Use Stata
 Managing Stata Files
 Doing Your Work Using Do Files
 Stata’s User Interface
 Stata Data Sets
 How Stata Commands Work
 Comments and Other Tools for Making Do Files Readable
 Creating Variables
 Using Graphs
 Reading Data from a Spreadsheet or CSV File
 Downloading Data from Qualtrics and Importing it into Stata
 Descriptive Statistics
 Graphs
 Means and Confidence Intervals
 ttests
 Scatterplots
 Correlations
 Stata for Students