Basic statistics and data handling
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Wednesday, 07 December 2016 @ 09:30
End: Friday, 09 December 2016 @ 17:30
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Scientific topic: Data visualisation, BioinformaticsTarget audience:
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics
- but who have not perhaps put this into practice since.
- Graduate students
- Postdocs and Staff members from the University of Cambridge
- Institutions and other external Institutions or individuals
This three day course is intended to open doors to applying statistics - whether directly increasing skills and personally undertaking analyses, or by expanding knowledge towards identifying collaborators. The end goal is to drive confident engagement with data analysis and further training - increasing the quality and reliability of interpretation, and putting that interpretation and subsequent presentation into the hands of the researcher. Each day of the course will deliver a mixture of lecture, workshop and hands-on practice – and will focus on the following specific elements.
Day 1 focuses on basic approaches and the computer skills required to do downstream analysis. Covering: Basic skills for data manipulation in R. How to prepare your data effectively. Principles of experimental design and how this influences analysis.
On day 2, participants will explore the core concepts of statistics – so that they can begin to see how they can be applied to their own work, and to also help with better critical evaluation of the work of others. Covering: Basic statistics concepts and practice: power, variability, false discovery, t-test, effect size, simulations to understand what a p-value means.
On day 3 will use some practical statistics examples in R to introduce concepts in data presentation for publication. Covering: Some practical examples of statistics in R. Visualising and publishing your data.
Course materials are available here.
This event is sponsored by CRUK.
- Workshops and courses