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Courses offered

Introduction to STATA

Key Details

Date: 14th January 2020 – 16th January 2020
Time: 09:00-17:30 
Venue: Computer Rooms A & B, Main Building. Institute of Psychiatry, Psychology & Neurosciences (IoPPN), King's College London. View Map.


Course Aim
The 3 day course aims to introduce you to the statistical software Stata and demonstrate how to carry out standard statistical procedures in STATA using its command language. The course is intended to provide a foundation in STATA use however  will not teach introductory statistical concepts, a basic knowledge of these would be useful.
Participants will need to bring their own laptop computer with STATA installed.
Learning Outcomes

By the end of this course you should be able to:

  • feel familiar with the Stata interface, and style of programming language;
  • read existing datasets into Stata;
  • modify the format of your data to make it easier to analyse;
  • summarise basic statistics;
  • produce and edit graphical displays;
  • perform statistical analysis tests.

Cost and Booking

  • External Early bird: £450 (till 15/11/19, price thereafter £500)
  • KCL Staff Early bird: £337.50 (till 15/11/19, price thereafter £375)
  • KCL Student Early bird: £225 (till 15/11/19, price thereafter £250)
  • Other Student Early bird: £337.50 (till 15/11/19, price thereafter £375)
  • Kings Health Partner Early bird: £337.50 (till 15/11/19, price thereafter £375)

That is, 50% discount to King's College London PhD students, 25% discount to other students and staff at King's College London and King's Health Partners.


Booking for this course is open.

For more information and details on how to register, please visit:

A 10% early bird discount will be available until 15th November 2019 and booking will close on 3rd January 2020

Course Team

George Vamvakas (Academic Lead)

GeorgeVamvakasGeorge is a statistician in the Department of Biostatistics. Having worked as a health economist he switched to statistics after completing the MSc in Statistics at Lancaster University.

Since then he worked on a missing data method for clinical trials and on propensity score matching for observational data. The main focus of his research at the IoPPN is the analysis of developmental data.

George's primary interests lie in the construction of growth models with an emphasis on structural equation modelling. Areas of application include autism, language disorders, and reoffending behaviour.

Research profile

See George's research profile here.


Your place will not be confirmed until payment has been made. Failure to cancel without sufficient notice will forfeit your course fee and access to future courses. If you would like to pay by internal transfer, please contact

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