Statistical Training - Public Short Courses
We offer an annual programme of short courses, both online and face-to-face. Delivered throughout the year, these range from courses such as What Sample Size Do I Need? with R to Advanced Survival Analysis using R. We also work with partners to deliver courses.
SSC course timetable 2024
Online courses:
All online training is delivered live from Reading, United Kingdom. The delivery platform is Zoom, which may be freely accessed. During the training questions may be asked using Zoom's chat box. Note our online courses are delivered by a team of two presenters, so one presenter is always available to provide additional support. During presentations, the team member who is not speaking can take questions in addition to the presenter. We also use Zoom meetings rather than webinars to encourage further interaction during an online course.
Face-to-face courses:
We may present face-to-face courses under the umbrella of short course programmes organised by other training providers; see below for details.
Institute for Statistical and Data Science (Instats)
The SSC has produced an on-demand course, What Sample Size Do I Need? with R, which is available from Instats.
University of Southampton's Public Short Courses 2024
The SSC may present courses for S3RI at the University of Southampton, UK in 2024. If so, external links will be provided below.
If you would like a topic added to our public short course programme, please contact us. If you wish to be added to our mailing list to receive our annual short course poster and details of upcoming courses via email, please click here. Our current short course poster for 2024 can be downloaded from the link below:
| ssc_course_timetable_2024.pdf |
Most of our advertised courses can also be provided in-house to your staff as part of our bespoke training service. If you cannot find the exact course your team needs, we will happily design one for you. Everything from the course content, timetabling, and pace of training can be matched to your requirements. We will liaise with you to ensure all aspects of your training fit together to give your team the best possible training package. Click here to learn more about our bespoke training service.
To apply for any of our courses click here to go to our online registration form. Alternatively, download and complete our PDF form and email it back to us:
| registration_form.pdf |
Courses not scheduled to run in 2024
The courses listed below are not scheduled to run in the SSC's 2024 public programme but most can be commissioned. Please contact us for further information.
Courses for Statisticians
Courses for Scientists and Related
Courses for Medical & Health Professionals
Courses for University and HE Administrators
Courses for Decision Makers in Policy and Management
The courses listed below are not scheduled to run in the SSC's 2024 public programme but most can be commissioned. Please contact us for further information.
Courses for Statisticians
- Advanced Topics in Survival Analysis (3 days)
- Bayesian Modelling, Inference, Prediction and Decision-Making (2 days)
- Bayesian Hierarchical Modelling (1 day)
- Bayesian Model Specification (1 day)
- Bayesian Non-Parametric Modelling and Case Studies in Bayesian Data Science (1 day)
- Bayesian Survival Analysis (1 day)
- General Linear Models (2 days)
- Generalised Linear Mixed Models (2 days)
- Introduction to Capture-Recapture Techniques (2 days)
- Introduction to Multiple Comparison Methods (1 day)
- Introduction to Survival Analysis (3 days)
- Linear Mixed Models (3 days)
- Modelling Binary and Categorical Repeated Measurements Data (2 days)
- Practical Bayesian Data Analysis (3 days)
- Repeated Measurements Analysis (2 days)
- Statistical Modelling and Graphics Using R (2 days)
- Survival Analysis using R (1 day)
Courses for Scientists and Related
- A Review of Basic Statistics (2 days)
- A Review of Basic Statistics using Excel (2 days)
- Advanced Graphics Using R (1 day)
- Analysis of Binary and Categorical Data (2 days)
- Bayesian Analysis Made Easy (2 days)
- Design and Analysis of Experiments (3 days)
- Introduction to Analysis of Variance (ANOVA) (2 days)
- Introduction to Logistic Regression (2 days)
- Microsoft Access for Data Management (3 days)
- Multiple Imputation: A Practical Introduction (1 day)
- Multivariate Analysis (2 days)
- Regression Models: A Hands-on Approach (2 days)
- Regression Models: A Hands-on Approach using R (2 days)
- Sample Size Determination using Excel (1 day)
- Statistical Modelling and Graphics Using R (2 days)
- Validation of Diagnostic Tests (1 day)
- What Sample Size Do I Need? (1 day)
Courses for Medical & Health Professionals
- Introduction to Epidemiological Methods (3 days)
- Statistical Modelling in Epidemiology (2 days)
- Survival Analysis for Medical and Health Professionals (2 days)
- Survival Analysis for Medical and Health Professionals using R (2 days)
Courses for University and HE Administrators
- Advanced Excel for Students Records' Administrators (1 day)
- Statistical Analysis of Examination and Other Numerical Data (1 day)
- Statistics for University Administrators (1 day)
Courses for Decision Makers in Policy and Management
- Statistics for Policy Makers (0.5 days)