UCL’s Centre for Applied Statistics Courses (CASC) has provided training for non-statisticians for almost 20 years. It's now launching a new series of evening courses (CASC After Dark) for people who find it difficult to attend courses during working hours.
We spoke to Eirini Koutoumanou, Senior Teaching Fellow as CASC, to find out more about the centre and the courses they offer.
When was the centre set up, and why?
CASC, which is part of the UCL Great Ormond Street Institute of Child Health, was set up in 2008 in response to widespread demand from professionals for statistical training.
Our motive is to explain statistics in non-technical language to people with no statistical background. We encourage a relatively informal environment in the classroom where everyone is able to voice any confusion and ask questions.
Who comes on your courses?
Our audience is really mixed - people from different backgrounds and at different stages in their career are all welcome.
We encourage participants to ask questions relevant to their field to ensure they get the most out of their learning experience.
How has the programme of short courses developed since the centre was set up?
Since its inception, CASC has expanded to become the main provider of short courses in statistics for non-statisticians in the UK.
We currently run courses on 18 different statistical topics (with two more courses in development) as well as holding two week-long summer school events.
This list of courses has grown over the years in order help keep participants up-to-date with existing and new trends in the field of statistics and data analysis.
Tell us about your new evening courses
In response to our delegates’ feedback, in 2018 we'll be running our three most popular courses as a series of evening classes to accommodate those who find it difficult to attend during working hours.
Our 'CASC After Dark' classes will run from 5.15pm to 8.30pm.
The three evening courses we're running are:
We look forward to seeing you then…or at any of our other courses.
Who is CASC?
CASC has six members of staff: Director Professor Angie Wade, Senior Teaching Fellow Eirini Koutoumanou, Teaching Fellows Sophie Lee, Dr Dean Langan and Dr Dan Green, and Administrator Patricia John.
Click on the course titles below to find out more.
- Statistics and Research Methods: an Introduction
- Analysing 2x2 Tables
- Bayesian Analysis: an Introduction
- Critical Appraisal
- Dealing with Missing Data in Research Studies: an Introduction
- Logistic Regression: an Introduction
- Meta-analysis: an Introduction
- Regression Analysis: an Introduction
- Reliability and Validity: an Introduction
- Sample Size Estimation and Power Calculations
- Survival/Time-to-Event Data Analysis: an Introduction
Statistics software courses
- Introduction to R
- Further Topics in R
- Regressions with R: an overview
- Introduction to Stata
- Introduction to SPSS
- ANOVA/GLMs with SPSS
Page last modified on 14 November 2017 10:07