In this module, we will explore a range of data management techniques in Stata, from creating code books and variable labels to advanced tasks such as verifying data integrity and exporting results. You will learn how to efficiently handle variables, perform dataset comparisons, and format tables for publication, ensuring smooth data preparation for analysis.

In this module, we will delve into various statistical operations in Stata, covering tasks like creating quick one-way and two-way tables, estimating constrained regressions, and computing immediate statistics. You'll learn how to perform advanced techniques such as bootstrapping regressions, handling missing values, and identifying outliers, all while improving the efficiency and accuracy of your statistical analyses.

In this module, we will cover programming essentials in Stata, from suppressing unwanted output and debugging error messages to adding custom ado folders and profiles. You'll learn how to optimize script execution, work with loops and non-integer values, and create custom outputs, helping you streamline your workflow and take full advantage of Stata's programming capabilities.

In this module, we will explore graphing capabilities in Stata, focusing on creating and customizing various types of graphs, such as histograms, range plots, and violin plots. You'll learn to enhance your graphs with features like multiple axes, custom colors, and titles, as well as how to recover graph data and combine different graphical elements. These techniques will help you effectively present your data visually.

In this module, we will provide a comprehensive Stata Cheat Sheet, compiling essential commands, tips, and shortcuts in a single, easily accessible resource. This sheet will serve as a quick reference guide, helping you recall and apply the most important Stata functions to streamline your workflow.