16-17th April, 8 Hours & Q&A Session, Online
This interactive course is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra hour-long Q&A session on April 17th.
Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.More information
Currently, all of our training courses are being held online to enable you to participate from the comfort of your own home.
These courses are always hosted by expert Stata certified trainers and research professionals.
We're also offering a selection of free webinars and Q&A sessions alongside trial licenses for software users.More information
Registration is now open for our upcoming free medical statistic webinars, hosted by statistical expert Robert Grant.
Each session lasts one hour and focuses on the practical application of Stata in the field of medical science.More information
Use STATA to easily import the latest official COVID19 news from Johns Hopkins University
The command creates a table that contains the date, the number of confirmed cases, the number of deaths, and the number recovered, plus a calculated variable named 'newcases', which is the difference between confirmed cases for two contiguous days.More information
14th May 2020, 8 Hours & Q&A Session, Online
This live and interactive 3-hour course is for data managers and researchers who want to learn Stata programming concepts and skills.
Participants will be taught key programming concepts to be able to apply them to common problems that arise in advanced data management and analysis.More information
30 March - 1 April 2020, London
This course is co-developed with Lancaster University Management School and covers Stata's potential to draw knowledge and value from rows of large, and possibly noisy data using the machine learning capabilities available within Stata 16More information
4 & 5 May 2020, Online
This is a new course that makes use of the new features now available within Stata 16.
Delivered by Dr. Melvyn Weeks from the University of Cambridge, the course covers topics at the intersection of machine learning and econometrics.More information
Presented By: Giovanni Cerulli (IRCrES-CNR)
Recent years have witnessed an unprecedented availability of information on social, economic, and health-related phenomena. Researchers, practitioners, and policymakers have nowadays access to huge datasets (the so-called “Big Data”) on people, companies and institutions, web and mobile devices, satellites, etc., at increasing speed and detail.View full course details
Presented By: Dr Melvyn Weeks (Associate Professor, University of Cambridge)
This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.
The course is designed to provide both the tools to undertake projects using machine learning (ml) but critically ensure that participants understand and can explain how the methods work. This is imperative since without this understanding it will not be able to communicate how these methods work.View full course details
Presented By: Dr George Naufal (Public Policy Research Institute (PPRI), Texas A&M University)
Our web based Introduction to Panel Data Analysis with Stata course provides an overview of the most used panel data techniques. The course is ideal for beginner/intermediate level user who wants to learn how implement panel data estimation with Stata commands. The course will be very practical, employing plenty of examples and a constant stream of challenging exercises. Participants leave with the know-how and courage to independently perform their own panel data analysis.View full course details
Presented By: Dr. Vincent O’Sullivan (Lancaster University)
This course is for data managers and researchers who want to learn Stata programming concepts and skills. These programming concepts and skills will enable participants to perform complex data operations such as mapping the characteristics of an observation or a group of observations to another observation or group. Participants will also be able to automate tasks to avoid repetition and to allow quick and easy implementation of changes to data and tasks. Finally, participants will be able to automate the production of high-quality tables from stored estimates.View full course details