Instructor: Prof Philippe Van Kerm
The course is designed to provide participants with a comprehensive understanding of Mata, a powerful matrix programming language integrated within Stata.
The interactive sessions will teach the skills needed to leverage Mata's capabilities for data analysis, complex operations, ascii file processing and optimization tasks.
More informationPresentation submissions are now being accepted for the 2024 UK Stata Conference.
The Scientific Organisers welcome submissions on any topic related to Stata or relevant to Stata users.
This year's event marks the 30th anniversary of the longest running Stata Conference globally.
More information
Join Dr Jamel Saadaoui for this free one-hour introduction to Stata 18.
The session will cover: Local projections for impulse–response functions, Model selection for ARIMA and ARFIMA & Graph colors by variable.
More informationStata 18 is now available!
Available from 25 April 2023 - Watch this short video highlighting the key new features now available in Stata 18.
More informationInstructor: Dr Giovanni Cerulli, National Research Council of Italy
This course is a primer to machine learning techniques using Stata. Stata owns various packages to perform machine learning, which are poorly known to many Stata users. This course fills this gap by familiarising participants with (and knowledgeable of) Stata's potential to draw knowledge and value from rows of large and possibly noisy data.
After the course, participants are expected to have an improved understanding of Stata potential to perform some of the most used marching learning techniques, thus becoming able to master research tasks including, among others, the above.
View full course detailsInstructor: Francesco Saverio Stentella Lopes, University of Roma Tre, Rome, Italy
The course will run online using Zoom.
Building tools to access and retrieve data stored in known locations online has always been an important resource for any analyst, non more so than now with vast amounts of data being available. However, accessing this data in formats that is easy to examine is not so straightforward. This course will cover the fundamentals of data scraping using Python libraries and how this data can be brought into Stata for analysis.
View full course detailsInstructor: Prof. Philippe Van Kerm, Dept. of Social Sciences, University of Luxembourg and Luxembourg Institute of Socio-Economic Research.
The course is designed to provide participants with a comprehensive understanding of Mata, a powerful matrix programming language integrated within Stata.
This course aims to equip participants with the skills to leverage Mata's capabilities for data analysis, complex operations, ascii file processing and optimization tasks. Through a combination of theoretical explanations, practical examples, and hands-on exercises, participants will gain a solid foundation in using Mata effectively within the Stata environment.
View full course details