Webinars

New to Stata? Ready to analyze your data but don’t know where to start? If you are wondering questions like: How do I enter data into Stata? What tools are available for data manipulation and cleansing? How do I create and customize scatter charts, histograms, and other charts? How can I fit a model and graph the results? How do I find resources to learn Stata? then join for the webinar featuring Stata. This one-hour webinar will take you on a tour of Stata, show you how to answer questions like these, and show you how to go even further. I can’t wait for you to get started with Stata and to see where it takes you!

How to join
The webinar is free, but registration is required to participate. Entries are limited so register early. You will receive an email before the start with instructions on how to access the webinar.

Registration deadline: 3 November 2025. Registration

Discover some of Stata’s hidden (and not so hidden) gems. The Tips & Tricks webinar shares with you some of the Stata developers’ favorite Stata features. It includes the following tips: label in three ways, standardize graphs using the graph recorder, then fit a model, now what?, interpret and understand the model, transform interactive use into reproducible results, work with Word. Join for this one-hour webinar and learn how you can make your interactions with Stata more efficient and effective.

How to join
The webinar is free, but registration is required to participate. Entries are limited so register early. You will receive an email before the start with instructions on how to access the webinar.

Registration deadline: 2 December 2025. Registration

Treatment effects estimate the causal effects of a treatment on an outcome. We usually estimate average treatment effects (ATE), but taking an average across a population may not be useful when the effect is heterogeneous. Average treatment effects conditional on a set of variables (CATEs) help us understand heterogeneous treatment effects, and, by construction, are useful to evaluate how different treatment-assignment policies affect different groups in the population.

In this webinar, we will show how to use Stata 19’s new command cate to answer questions such as the following:

Are the treatment effects heterogeneous?
How do the treatment effects vary with some variables?
Do the treatment effects vary across prespecified groups?
Are there unknown groups in the data for which treatment effects differ?
Which is best among possible treatment-assignment rules?

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 13 October 2025. Registration

Which customers will default on their loan? How will stock prices change in the coming weeks? What key factors drive surgical success?

High-performance machine learning methods can answer questions like these and many more, even when the data-generating process is complex. With the new h2oml suite in Stata, you can implement two of the most used models in machine learning via H2O: gradient boosting machine (GBM) and random forest (RF).

In this webinar, we will see how to fit these models to predict continuous, binary, and multinomial outcomes; how to evaluate model performance; and how to optimally select model hyperparameters. We will also explore the tools available in Stata to interpret and explain the predictions of our machine learning models. These include variable importance, global surrogate models, partial dependence plots, ICE curves, and Shapley values.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 11 November 2025. Registration

Looking for real-time answers to your Stata questions?

Stata’s Technical Services team invites you to join Ask Stata, our online support session series offering live Q&A and insightful demonstrations on a variety of rotating topics. It’s the perfect opportunity to connect directly with our experts and fellow users. Feel free to bring questions or just listen in. We will prioritize answering Stata-related questions tied to the session topic. Just a heads-up: these interactive sessions won’t be recorded.

This session will focus on Stata’s tools for building customizable tables, particularly the collect suite of commands, table, etable, and dtable.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 26 October 2025. Registration

Looking for real-time answers to your Stata questions?

Stata’s Technical Services team invites you to join Ask Stata, our online support session series offering live Q&A and insightful demonstrations on a variety of rotating topics. It’s the perfect opportunity to connect directly with our experts and fellow users. Feel free to bring questions or just listen in. We will prioritize answering Stata-related questions tied to the session topic. Just a heads-up: these interactive sessions won’t be recorded.

This session will focus on Stata’s tools for panel-data analysis, particularly the xt suite of commands.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 30 November 2025. Registration

Ready to transform your workflow? This webinar will equip you with essential Stata data management skills, including how to do the following:

Import data from websites using import
Combine datasets using merge and append
Manage multiple datasets simultaneously using frames
Convert data between long and wide formats using reshape
Create new variables using egen and string functions
Create summary data using contract and collapse
Subset data using by and if

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon. We will send you an email prior to the start with instructions on how to access the webinar.

Registration deadline: 25 January 2026. Registration

Missing values are common in many fields. If analyses do not properly account for missing values, the resulting estimates may be biased. Multiple imputation provides a flexible approach to missing data that results in valid statistical inference.

This webinar introduces concepts fundamental to missing data and multiple imputation. We will demonstrate how to perform multiple imputation in Stata using the mi suite of commands, from data set up and choosing an appropriate multiple imputation model to performing analyses that properly account for missing-data uncertainty.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon. We will send you an email prior to the start with instructions on how to access the webinar.

Registration deadline: 22 February 2026. Registration

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