R for beginners – An introduction course

Next course: 11th to 13th of September

It is here! Registration for our next R for beginners course! As in previous iterations in this 3 full day course we will cover an assortment of topics to

  • Day 1: foundations of R: get familiar with R, R studio, operators, variables, functions, directories and the script editor
  • Day 2: visualisation in  basic R (boxplots, scatterplots, line graphs and  histograms) and ggplot2 (same types of plots and also manipulation of data for use within this package as well as simple linear regression)
  • Day 3: Introduction to statistical analyses in R: univariate statistics (choosing the right test, checking data assumptions, calculating and extracting the values to report in publications) and Principal Component Analysis (calculation and visualisation with ggplot2)
  • Extra materials: Introduction to the Tidyverse

The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included.

As always places are limited. Resgistration can be completed by filling this form.

Previous iterations: April 2019 & November 2018

This 3 day course is developed and offered by both the CBF and the CGR (Centre for Genomic Research) at the University of Liverpool. The contents covered:

  • Day 1: R basics: structures, functions and data manipulation
  • Day 2: Visualisation: beautiful plots ready for publication
  • Day 3: Introduction to Statistical analyses in R (including univariate tests and Principal Component Analysis)
  • Extra materials: introduction to the Tidyverse

The course has been designed to introduce R from the very basics. Therefore applicants do not need any prior experience to attend, just the desire to learn R. Real life examples with bioinformatic applications are included.

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

Course Fees

Based on affiliation, these are:

– £300 University of Liverpool
– £500 Other Academic Institutions*
– £700 Industry

*Note that participants from Institutions part of the Technology Directory Memoranda of Understanding may access a 20% discount on the fee. These institutions are the Liverpool School of Tropical Medicine, Liverpool John Moores University, University of Keele, University of Chester and Royal Veterinary College, London. Please contact us if you are interested in applying for this.

Coffee breaks and lunches are included within the registration fee as well as assistance to the course dinner. Note that places are limited and a selection process will be undertaken.