Key Information
Tutor: Dr John Pinney
Duration: 3 hour session
Delivery: Live (Online)
Course Credit (PGR only): 1 credit
Audience: Research Degree Students, Postdocs, Research Fellows
Dates
- Weds 29 October 2025
10:00-13:00, MS Teams - Weds 28 January 2026
10:00-13:00, MS Teams - Weds 27 May 2026
10:00-13:00, MS Teams
Course Resources
This foundational course will introduce basic statistical concepts, focusing on methods for visualising and summarising sampled data. It is intended primarily for research students who haven’t used statistics for a long time. The course aims to equip students with the most essential statistical concepts and skills, to give them more confidence in presenting their own data and interpreting the results of others.
This course is open to Research Degree Students, Postdocs & Research Fellows. Limited spaces available for wider Imperial community.
Learning Outcomes
On completion of this workshop you will be able to:
- Understand the need for statistics in scientific studies
- Interpret graphical representations of sampled data
- Calculate descriptive statistics for sampled data
- Apply the normal distribution to answer questions about a population
- Identify potential sources of bias in a scientific study
How to book
- Early Career Researchers (Research Degree Students, Postdocs, Research Fellows) should book via Inkpath using your Imperial Single-Sign-On.
- All other members of the Imperial community, should book here.
Please ensure you have read and understood ECRI’s cancellation policy before booking.