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Centre for Applied Statistics Courses

We provide short courses in research methods and statistical analyses for anyone wanting to interpret or undertake their own research. Everyone is welcome to attend, including those based outside UCL.

Extensive notes are provided for all courses, and teaching is interspersed with practical examples and activities throughout courses to ensure that everyone has understood the key principles. We strive to create a relatively informal learning atmosphere, where participants are not afraid to ask questions or voice any confusion.

No prior statistical knowledge is assumed for our introductory courses (Introduction to Research Methods and Statistics / Introduction to Statistics in R), or our winter and summer schools, but all other courses assume that the basics are understood. Our live courses usually take place on weekdays during typical office-hours and selected evening dates may also be available for certain courses depending on timetable availability. We offer online self-paced versions of many of our courses too.

Latest News:

  • We are now excited to announce that all of our Term 3 courses are now available to book. We have a delightful selection of courses ready for you to register on to including, Sample Size Estimation and Power Calculations with ExcelIntroduction to Dealing with Missing DataIntroduction to Survival/Time-to-Event Data Analysis, and our famously popular Introduction to R.
  • We are delighted to announce that the Centre for Applied Statistics Courses (CASC) have been announced as the winners of the Faculty of Population Health Sciences (FPHS) Team of the Year Award for 2024. This is an excellent award of recogniton for all the effort the team has put into the courses throughout the year.

  • We would also like to announce that Instats and UCL now have a partnership that allows free use of the Instats platform to create research training content for UCL researchers and their schools, departments, and faculties.

  • Our new self-paced course (Introduction to Statistics in R) is live and available to start now. This is our biggest project yet in on-demand learning and includes over 11 hours of video content, as well as 30+ interactive activities and support.

  • We have a growing list of other online self-paced courses available through exploring here. If you are a doctoral research student at UCL and would like access to this entire programme, please complete this online form. Otherwise, see the individual course pages for details.

You can also keep up to date with our latest news by joining our mailing list, or following us on Linkedin, X, or BlueSky.

The courses running frequently at CASC are:

 
Winter / summer schools:
Introductory statistics courses:
Theory-based courses:
Theory-based courses (with an optional software workshop):
Mixed courses with integrated statistical theory and software:
Statistics software courses:

Alternatively, please see the events calendar for a chronological list of statistics courses running at ICH (note: this calendar only shows the most imminent date for each course).

* Knowledge of basic statistical concepts is required/beneficial; we recommend the Introduction to Research Methods and Statistics course if you have little/no previous statistics experience; this course offers a good basis for all other CASC courses. 
~ requires prior knowledge/experience of the R software. 
^ We recommend attending the Introduction to Regression Analysis course first if you have no prior experience of regression analyses. 

Evening dates often available for this course
§ Self-paced online materials available for purchase 

Who are we?

The Centre for Applied Statistics Courses (CASC) was founded in 2008 by Emeritus Professor Angie Wade. The team currently comprises of Director and Associate Professor Dr Eirini Koutoumanou, Associate Professor and Head of CASC’s on-demand learning Dr Dean Langan, Deputy Director of CASC Dr Chibueze Ogbonnaya, and Associate Lecturers Dr Catalina Suarez-Rivera and Dr Manolis Bagkeris. Based within UCL Great Ormond Street Institute of Child Health, we run a variety of higher degree and short courses for non-statisticians.

Contact us

Please see our FAQ page before making an enquiry about our courses.

Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk

Twitter:
https://twitter.com/StatsCoursesICH

Phone:
For general enqueries/payment: +44 (0) 207905 2768.  To contact a teaching fellow about the contents of a course, call us on: +44 (0) 77 30405 980
** Please note that the mobile phone is manned by teaching staff so we may not be able to answer your call straight away, but feel free to leave a message or forward your query on by email where it may be more quickly responded to.

Where are we based?

Our courses are usually based near to GOS Institute of Child Health; the nearest underground station is Russell Square on the Piccadilly line. Holborn, Chancery Lane, Euston and Kings Cross stations are all within walking distance. However, most advertised courses will be run in a hybrid mode (online and in-person attendance).

Visitors to the GOS Institute of Child Health

Great Ormond Street Institute of Child Health welcome visitors to take part in all of our teaching activities.

Visitors are responsible for securing their own accommodation. If accommodation is required this should be arranged before arrival and funded independently. Please visit the interactive map of hotels nearby.

Free online materials

The following supplementary materials and tools are freely available online as written by the CASC team. These are free for everyone, even if you are not enrolled on any of our short courses.

  • Spreadsheets for analysing 2x2 tables that compliment our one-day course 'Chi-square and Beyond for 2x2 Tables'
  • Spreadsheets for doing sample size calculations, related to the course 'Sample Size Estimation and Power Calculations with Excel'

Additionally, here is a list of Moodle pages for all courses (only accessible with a password given on registration)