Next course: 10th-12th APRIL 2019
More information to come in January 2019.
This was the first iteration of this very popular course. Below you can consult some of the information about it as next runs will cover similar content.
Some of our participants had this to say about the course:
|The exercices are well paced with a gradual learning curve so they build on previous knowledge. There is a nice flow through the workbooks. Exercise at the end are a good level of hard that you have to think and apply what you have learnt without copy/pasting but not too hard that they are intimidating|
|Very practical focused with is great, knowledgeable trainers who are willing to help. Very good curve in the complexity of the content of the course. Handbooks are also explained clearly so I can easily understand each term in and R code line. Best programming course I have ever attended, even better than my undergraduate programming modules|
|The stats lecture is perfect, tells me exactly what I needed to know! (e.g. key statistical terms, which test to use, when, how to check error/normality). No excessive maths included which is good. Always lined well to the practical sessions|
|The stats lecture will be perfect as a guide for my future work. The written guides are clear and easy to follow so I am glad that I have these|
|Excellent instructors always one available to explain|
R course information, Nov 18:
Open to all academics (students & staff) from all universities and all commercial/industrial scientists from all companies
This 3-day R course was designed and delivered by Dr Eva Caamano-Gutierrez from the CBF and Mr Matthew Gemmell from the Centre for Genomic Research and partially funded by the Natural Environment Research Council (NERC). It primarily focused on the basis of R language and introduction to visualisation and statistics analyses in a three day programme as follows:
- 21st November 2018: R basics: structures, functions and data manipulation
- 22nd November 2018: Visualisation: beautiful plots ready for publication
- 23rd November 2018: Introduction to Statistical analyses in R
The course was designed to introduce R from the very basics. Therefore applicants did not need any prior experience to attend the workshop, just the desire and need to learn R.