Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules. Everything that you need is in one package. Perpetual licences are available, with nothing more to buy ever.
More about StataTraining Courses
Our goal is to help delegates develop their existing skills and keep up-to-date with the latest and most important developments across the fields of Statistics, Econometrics and Forecasting.
View our coursesQuick links to upcoming events & latest news
Machine Learning for Economists and Policy Makers: Prediction, Classification and Causal Inference
16 & 17 December 2019
After the release of Stata 16, this is a new course delivered by Dr. Melvyn Weeks from the University of Cambridge.
The course covers topics at the intersection of machine learning and econometrics.
More informationStata Fundamentals - Free Online Seminar
Our 'Stata Fundamentals' webinar provides a complete introduction to Stata and is ideal for the new or beginner level user who wants to have a head start and learn how to use Stata efficiently.
We introduce Stata’s most popular and useful commands and procedures to import, manipulate, transform and manage data as well as how to export results to commonly used file formats. Stata do-files, log files and also graphics are covered briefly in the final session.
More information2019 Stata Autumn School
23-29 September 2019, London
Our Stata Autumn School comprises a series of six, 1-day courses delivered by experienced biostatisticians and econometricians: Robert Grant, Dr Matteo Quartagno, Prof Aurelio Tobias, and Dr Giovanni Cerulli.
The courses that comprise this year's Stata Autumn School are - Introduction to Bayesian Analysis, Multivariate Analysis and Unsupervised Learning, Analysis of Multilevel and Longitudinal data, Dealing with missing data, Network Meta-analysis and Structural Equation Modelling
More informationStata Programming & Managing Large Datasets
4-7 November 2019, London
This 4-day course focuses on practical programming needs arising when dealing with large datasets, multiple data sources and the programming tools which may help in routinising complex tasks and automating pieces of your work.
More information