Stata Basics: A Short Course

An 8-Hour Livestream Seminar Taught by Bianca Manago, Ph.D.

Over the years, we’ve gotten many requests for short introductory courses. Today we are proud to unveil our new “mini” course: Stata Basics. In just 8 hours (over 2 days), you will gain the skills to efficiently and effectively use Stata. This will also give you enough background to take other seminars and pursue your training further. We hope you enjoy the course.

This seminar will provide a comprehensive introduction to Stata software. You will learn how to use Stata to prepare, analyze, and present data in a manner that is both accurate and reproducible. By the end of the workshop, your work in Stata should be easier and more efficient.

Specifically, regarding preparation, you will learn how to import data, label variables, label values, name variables, and adjust for data types. You will also learn how to use Stata to calculate and graphically represent descriptive statistics.

Regarding analysis, you will learn how to estimate regression (linear, binary, ordinal, and multinomial) models, store estimates, compare models, and conduct post-estimation. Additionally, you will learn how to turn Stata output into publication-ready graphs and tables.

Finally, you will learn ways to make these processes more efficient using basic introductory-level programming.

Starting May 2, we are offering this seminar as an 8-hour synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two 2-hour lecture sessions which include hands-on exercises, separated by a 30-minute break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.

More Details About the Course Content

With its user-friendly interface and strong analytical and graphical abilities, Stata is the preferred statistical analysis tool for large numbers of data analysts in economics, statistics, sociology, education, and biomedicine, as well as in the business domains of finance, consulting, investment management, and marketing.

Stata is extremely powerful but also easy to learn. Its amazing help files and fully integrated manuals system really set Stata apart. After achieving a basic familiarity with the syntax and interface, Stata can be learned much more quickly than its competitors.

A large community of Stata users also provides a rich network of support as well as thousands of helpful add-on commands that can dramatically extend the software’s capabilities. Overall, Stata is extremely versatile software that is a valuable addition to any analyst’s toolbox.


You are encouraged to use a computer with Stata installed. Stata 17 is the most current version, but Stata 14-16 will work just as well for most of the course content.

If you’d like to familiarize yourself with Stata basics before the seminar begins, we recommend following along with a “getting started” video like the one here.

Seminar participants who are not yet ready to purchase Stata could take advantage of StataCorp’s free 30-day evaluation offer or their 30-day software return policy.

Who Should Register?

The course will benefit researchers, analysts, and students interested in learning or mastering Stata—a statistical software package. Current users of alternative software packages (e.g., SAS, R, SPSS) who are interested in extending their arsenal of statistical software tools will also find it particularly useful. The seminar generally will appeal to those who seek an accelerated and in-depth introduction to a powerful, popular, and flexible statistical software package.

The course will focus on developing mastery of software rather than on teaching statistics. Hence, familiarity with statistical concepts at the first-year undergraduate level, including topics such as descriptive statistics, probability distributions, hypothesis testing, t-tests, chi-square tests, and OLS regression will be assumed. While prior exposure to statistical software may be useful, no prior experience with Stata or any other statistical package is required.


Day 1

  1. Stata orientation
  2. Intro to descriptive statistics
    a. Commands
    b. Graphs
    c. Tables
  3. Data preparation
    a. Importing data
    b. Variable naming
    c. Value and variable labeling
    d. Data types

Day 2

  1. Data analysis and presentation
    a. Foundational analysis commands
    b. Graphs
    c. Tables
  2. Automation
    a. Loops
    b. Locals

Seminar Information

Tuesday, May 2 –
Wednesday, May 3, 2023

Daily Schedule: All sessions are held live via Zoom. All times are ET (New York time).

11:30am-1:30pm (convert to your local time)

Payment Information

The fee of $595 includes all course materials.

PayPal and all major credit cards are accepted.

Our Tax ID number is 26-4576270.