Inference using R
About this course
Page last updated 15 March 2019
We offer one-day short courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.
Any course materials, including pre-reading, lunch and refreshments are included in the fee.
Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.
R is a statistical software package and statistical programming language, which provides a huge variety of tools for statistical analysis. It is the most widely used free statistical software in academia, and the most sought after statistical programming skill in industry.
This course is suitable for those who have already started using the R programming language, and would like to use the statistical modelling functions offered by R. It therefore extends the material of the Introduction to R course. An understanding of simple linear regression is assumed.
Topics taught include multiple linear regression (with numerical and categorical predictors), generalized linear regression (with numerical and categorical outcomes), and analysis of variance.
This is a non-credit bearing course and no assessment will be undertaken. You will receive a Certificate of Attendance on completion of the course.
Supplementary fee information
Please see the table below for current fees and discounts available. All prices are VAT exempt.
Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.
|Cohort||Full Fee||Early Bird Discount||UWE Alumni/Current Student Discount||UWE Staff Discount|
(Fees include car parking, lunch and refreshments)
|This course will next run in the 2019/20 Academic Year. Please use the online enquiry form link if you would like to be notified when dates have been confirmed||10.00 - 16.00|
How to apply
To make a full or provisional booking for this course, please complete the relevant online booking form below:
For further information
- Email: For all queries regarding administration aspects of registration, i.e. dates, fees, etc. please contact us using the online enquiry form link. For any questions in relation to the course, i.e. content, suitability, assessments, etc. please contact the Programme Leader directly.
- Telephone: +44 (0)117 32 86927