Statistics for Research workers using R and R Markdown

Do you need to understand statistical ideas and methods to carry out your research?

Our practical and comprehensive course will provide you with the skills you need.

Statistical topics covered will include:

• estimation
• hypothesis testing
• regression, and;
• inference based on the normal distribution.
• And much more

Feedback

'Comprehensive, well taught statistics course that will prove incredibly useful to anyone undertaking research or analysing research results.'

'Very engaging and helpful , well thought out.'

'Great overview of statistical methods for people who want to get a better understanding of how they can use data in their work.'

** 8 November to 3 December 2021

Course structure

You can expect to spend an average of 3 hours per day on the course. There will be a mix of pre-recorded lectures, live Q&A (via Zoom) with course presenters and Zoom tutorial sessions.  Lecture material is pre-recorded to support flexibility in online learning.

Lectures

On Mondays and Thursdays, pre-recorded lecture material will be provided.  On average there are 2.5 hours of lectures on these days.

Live Q&A

At 4:30 on Mondays and Thursdays, there will be live Q&A with the course presenters to follow up on any questions you have about the pre-recorded lectures.

Tutorial sessions

On Tuesdays and Fridays, there will be 2-hour tutorial sessions where practical work using software can be done with the support of experienced tutors. The tutorials are planned to start at 10am.

Presenter:  Professor Ian Gordon and Associate Professor Sue Finch