Stata Basics: A Short Course
An 8-Hour Livestream Seminar Taught by Bianca Manago, Ph.D.
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.
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 April 25, 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 intuitive user interface and robust analytical and graphical capabilities, Stata stands out as the preferred statistical analysis tool among a diverse array of data analysts in fields such as economics, statistics, sociology, education, and biomedicine. It also holds prominence in the business domains of finance, consulting, investment management, and marketing.
Stata’s exceptional power is complemented by its user-friendly design, making it not only highly effective but also easily comprehensible. The exceptional help files and fully integrated manuals system further distinguish Stata in facilitating a seamless learning experience. Once basic familiarity with syntax and interface is achieved, Stata proves to be a quicker learning curve compared to its counterparts.
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 18 is the most current version, but Stata 14-17 will work just as well for most of the course content.
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.
- Stata orientation
- Intro to descriptive statistics
- Data preparation
a. Importing data
b. Variable naming
c. Value and variable labeling
d. Data types
- Data analysis and presentation
a. Foundational analysis commands
Reviews of Stata Basics
“Dr. Manago is a very responsive and competent lecturer. I thought all of the material was very good.”
Gertrud Buchenrieder, University of the Bundeswehr Munich
“Bianca was well prepared, informed, and had great resources.”
Anne-Marie Gomes, SUNY Albany
Thursday, April 25 –
Friday, April 26, 2024
Daily Schedule: All sessions are held live via Zoom. All times are ET (New York time).
10:30am-12:30pm (convert to your local time)
The fee of $695 includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.