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This evening course will introduce you to the statistical software Stata and how to use it to carry out statistical analysis.
You'll learn how to enter and manipulate data, and the basics of analyses and graphs.
It's suitable for those with little or no experience of Stata, or those who want a refresher. A basic knowledge of statistics would be helpful.
This course runs online, over two consecutive evenings, from 5pm to 8:15pm.
A one-day version of this course is also available.
This course is run by UCL's Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).
This course will cover the following topics:
- Getting started with the Stata interface
- Data entry/loading (including do files and log files)
- Data manipulation
- Descriptive statistics
- Parametric tests
- Non-parametric tests
You'll be expected to have a basic understanding of common statistical tests and concepts as these won't be taught during this workshop.
Computers and software
You'll need to have a recent version of Stata installed on your computer (ideally version 14 or higher).
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 basic statistical analysis tests
You can request a certificate of attendance for this course once you've completed it. Please send your request to firstname.lastname@example.org
Include the following in your email:
- the name of the completed course for which you'd like a certificate
- how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)
Cost and concessions
The fees are as follows:
- External delegates (non UCL) - £200
- UCL staff, students, alumni (including ICH/GOSH) - £100*
* valid UCL email address and/or UCL alumni number required upon registration
Find out about other statistics courses
CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.
Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)
Dr Manolis Bagkeris
Manolis has a BSc in Statistics and Actuarial-Financial Mathematics from the University of the Aegean and an MSc in Medical Statistics from the Athens University of Economics and Business (AUEB). He’s worked as a research assistant at University of Crete, UCL and Imperial College London. He’s been working at CASC since November 2021, providing short courses in research methods and statistics for people who want to develop or enhance their knowledge in interpreting and undertaking their own research. His interests include paediatric epidemiology, clinical and population health, HIV, mental health and development. He was awarded a PhD from UCL in 2021 on the topic of frailty, falls, bone mineral density and fractures among HIV-positive and HIV-negative controls in England and Ireland.
Dr Eirini Koutoumanou
Eirini has a BSc in Statistics from Athens University of Economics and Business and an MSc in Statistics from Lancaster University (funded by the Engineering and Physical Sciences Research Council). She joined UCL GOS Institute of Child Health in 2008 to develop a range of short courses for anyone interested in learning new statistical skills. Soon after, CASC was born. In 2014, she was promoted to Senior Teaching Fellow. In 2019, she successfully passed her PhD viva on the topic of Copula models and their application within paediatric data. Since early 2020 she has been co-directing CASC with its founder, Emeritus Professor Angie Wade, and has been the sole Director of CASC since January 2022.
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Course information last modified: 30 Nov 2022, 16:01