Sanger Graduate Programme 2025-26 - Core Statistics
Date: 3 - 17 February 2026
Note: This iteration of the course is a special event open only to Wellcome Sanger Institute students and staff. If you are a Sanger staff member, please register your interest here to be notified once a place becomes available. After accepting an offer, a place will be booked and you will receive a confirmation email with relevant payment details.
Programme
The Sanger Institute Graduate Computational Skills Programme
Module 6: Core Statistics
This 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
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.
This module consists of 3 full day sessions.
Delivery
All sessions are in-person.
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: 2025/26 Wellcome Sanger Institute student cohort and staff members
Event types:
- Workshops and courses
Activity log