5-6 September, London
The 25th UK Stata Conference (London) is a two-day international event that provides Stata users from across the United Kingdom and the world the opportunity to exchange ideas, experiences, and information on new applications of the software.
Meet and collaborate with Stata developers and connect with the Stata user community.
Find out more & register onlineMore information
2-4 September 2019 - London
Delivered by Kit Baum, this interactive 3-day course introduces programming skills to those who have never written a program in Stata and is delivered by the author of the Stata Press book
"An Introduction to Stata Programming"
Anyone attending this short course will receive a complimentary registration to the
25th UK Stata Conference.
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 ModellingMore information
28-29 July, University of Cambridge
Forming part of our Econometrics Summer School, this short course is delivered by Dr. Melvyn Weeks.
Topics covered will include: the ordinary linear regression model, instrumental variables, generalised method of moments, and introduction to Machine Learning Methods for Big Data, fixed and random effects estimators for static panel data, dynamic panel data models, models of binary choice, and if there is time an introduction to Bayesian Econometrics.More information
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