Tuesday 21 April 2026 9:30am
Research Informatics Training - Online LIVE Training
About
Dates: Tue 21, Tue 28 April and Tue 5 May 2026
Time: 09:30 - 17:30
Location: Research Informatics Training - Online LIVE Training.
Participants must have their own computers to work on and a stable internet connection for the duration of the course. Instructions on specific system requirements and downloads will be provided when a booking is secured.
Please ensure you meet the target audience criteria and prerequisites before registering for a course.
Description
This award winning course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.
There are three core goals for this course:
- Use R confidently for statistics and data analysis
- Be able to analyse datasets using standard statistical techniques
- Know which tests are and are not appropriate
R is an open source programming language so all of the software we will use in the course is free.
In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory.
After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.
How to book Target audience- This course is included as part of several DTP and MPhil programmes, as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.
- This course requires users to be familiar with the R language. Attending an introductory course is definitely advantageous if you do not have a working knowledge of R already. If you are unable to attend a course or do not have sufficient working knowledge of R prior to the Core Stats sessions, please work through the R course materials.
- This course is included as part of several DTP and MPhil programmes, as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.
Fees must be paid at registration.
Free for registered University of Cambridge students
£ 65/full day for all University of Cambridge staff, including postdocs.
£ 65/full day for all academic participants from external Institutions and charitable organizations.
£ 130/full day for all Industry participants.
For further information about the courses, please email the Research Informatics Training Team.