This course is a powerhouse of 120 quick tips designed to make your use of Stata more efficient and impactful. Covering five main areas, the course starts with essential data management techniques, from creating code books and handling variables to comparing datasets. You'll learn how to streamline your work with techniques for verifying data, creating publication-quality tables, and exporting regression results. Each lesson is focused on practical skills that you can apply immediately to optimize your data analysis.
120 Quick Stata Tips
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Recall essential Stata commands for data management and statistical analysis.
Interpret and apply statistical methods like bootstrapping and marginal effects.
Implement efficient techniques to create publication-ready tables and graphs.
Examine datasets to identify outliers and collinearity in polynomial variables.
Skills you'll gain
Details to know
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Recently updated!
October 2024
Assessments
3 assignments
Taught in English
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There are 6 modules in this course
In this module, we will introduce the course, providing an overview of its objectives and structure. You'll gain insight into how mastering quick Stata tips can streamline your data analysis process. This sets the foundation for the more detailed sections ahead.
What's included
1 video1 reading
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.
What's included
35 videos
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.
What's included
22 videos1 assignment
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.
What's included
31 videos
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.
What's included
31 videos
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.
What's included
1 video2 assignments
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.