Training Courses

Learn to estimate linear models of any size using EViews with cutting-edge techniques like Quantile Regression, Robust Least Squares, and Elastic Net methods. Through hands-on practice, gain the skills to confidently analyse real-world data and enhance model accuracy.

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.

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.

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.

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.

Modelling Non-Stationary Data in EViews is a one-day advanced course on time series analysis, focusing on unit roots, cointegration, and the Vector Error Correction Model (VECM). Through hands-on sessions, participants will learn to apply key econometric techniques in EViews for real-world data analysis.

Learn the fundamentals of EViews, a leading econometric software, and gain an introduction to data handling, programming, and regression modelling. This hands-on course covers Classical Linear Regression Model (CLRM) analysis, diagnostic tests, and model refinement techniques.

Join the 2025 Stata Summer School for a flexible, four-day online training series covering data management, visualisation, and statistical analysis using Stata. Led by experts from LSHTM, the school offers practical, hands-on learning suitable for all experience levels. Attend the full programme or choose the course(s) that best suit your needs.