R is a programming language widely used for statistical analysis and data visualization in various fields. At the bare minimum, you need a basic level of understanding of R, which typically includes familiarity with R's syntax, data structures (such as vectors, data frames, and matrices), basic functions, data visualisation, and the ability to perform elementary data manipulation tasks like filtering, sorting, and merging datasets. ​But we would suggest that you learn as much R as you can. It's not just for Bioinformatics. It's a far more powerful, professional, and replicable way of exploring, analysing and plotting all your experiments. And the more R you learn, the more likely you will be able to understand all the steps of more specialised guides you might subsequently follow.

You might want to learn to use the R language from within the almost universally used Rstudio application.