Training Courses

Discover recent developments in causal inference and program evaluation using Stata. This course equips participants with the latest econometric methods, including difference-in-differences, synthetic control methods, and dose-response models. Learn to design, implement, and interpret robust policy evaluations through hands-on practical sessions.

This course equips participants with practical skills and theoretical insights to apply modern micro-econometric methods for policy evaluation and causal modelling using Stata. Covering techniques like regression adjustment, matching, and difference-in-differences, it prepares learners to design and conduct evaluations across various fields using real-world data.

Join us for the 2025 Stata Summer School, a dynamic, four-day online training series designed to equip researchers, data analysts, and students with the skills to manage, visualise, and analyse data effectively using Stata. Whether you're brand new to Stata or looking to refine your statistical analysis skills, this summer school offers flexible learning opportunities tailored to your needs.

Learn how to analyse longitudinal data with Stata in this comprehensive two-day online course. Covering static and dynamic linear models, you'll explore key methodologies, interpret results, and gain hands-on experience through practical examples and exercises. By the end, you'll be equipped to prepare panel data, select appropriate models, and obtain parameter estimates with confidence.

This interactive course introduces professionals and researchers to Stata, covering data management, visualisation, and fundamental analysis techniques. Participants will learn and apply linear and logistic regression using real-world health research examples.

Join us this July for a five-day, in-person summer school at the University of Cambridge, hosted at the scenic and modern Churchill College, led by world-renowned econometricians Professor Jeffrey Wooldridge and Dr. Melvyn Weeks.

Master both the fundamentals and advanced techniques of machine learning using Stata in this flexible 4-day course. Students can choose to attend the full course or select either the Introductory (5–6 June) or Advanced (12–13 June) sessions individually. With hands-on training and expert instruction, you'll gain practical skills to extract insights from complex data using Stata's powerful machine-learning tools.