R for Life Science Researchers training course

• How to use spreadsheet programs (such as Excel) more effectively, and the limitations of such programs
• Getting data out of spreadsheets and into more powerful tools (R)
• Data management and manipulation with R
• Data visualization § Workflows and automating repetitive tasks, in particular using the command line shell
• Perform basic statistical tests with R

Our R for data analysts training course is designed for teams looking to replace or augment Excel, SPSS or SAS workflows with R.

This workshop is designed to teach basic concepts, skills and tools for working more effectively with data that usually a scientist would analyse in spreadsheets programs (i.e. Excel).

This is time consuming because it usually requires a lot of manual work. If you want to change a parameter or run an analysis with a new dataset, you usually have to redo everything by hand. It is also difficult to track or reproduce statistical or plotting analyses done in spreadsheet programs (i.e.macros) when you want to go back to your work or someone asks for details of your analysis.

The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools

"Clear explanations about functions in R and data visualistaion tools to perform statistical tests. Extremely useful to be able to cater the data to our company for examples."

JZ, Executive, R for Life Science Researchers, January 2021