Quick introduction to programming in R 250327

Quick introduction to programming in R 250327
This course aims to provide basic notions of R programming to people that have NEVER worked with R and that want to learn how to use it for data analysis and visualization.
If you already have some basic programming knowledge in other programming language, this course might be too basic for you.
The Introduction to R course starts from the very basics of R language, all the way through learning how to create scripts, read and write files, manipulate different data structures, which will allow you to learn how to do some basic analysis and and get familiar with this amazing programming language.
In this course we will combine explanations and examples with lots of hands-on that will allow you to get familiar with basic programming concepts and explore the different possibilities that R offers.
Topics that are going to be addressed:
- A basic introduction perfect for people that have never programmed before.
- Learn the basis for data manipulation.
What NOT to expect:
- To learn about biostatistics tools
- To learn about data cleaning or preprocessing
- Plotting with ggplot or using any advanced package (there is another course to learn this)
PROGRAM
Session 1 (March 27th, 10:30 - 13:30h)
- Introduction to R and RStudio
- Paths and directories
- R basics
- Functions in R
- R scripts
- Introduction to data types and structures
Session 2 (March 28th, 10:30 - 13:30h)
- More on data types and structures
- Data frame manipulation
- Input / output
- Library and packages
- Basic introduction to plots
- Final Exercise
Instructors: Leone Albinati and Agostina Bianchi
Dates: 27th & 28th of March 2025 (10:30-13:30)
Location: Bioinformatics room (CRG Training Centre) - Presential
Maximum number of participants: 18
Level: Beginners
Registration deadline: 11th March 2025
Registration HERE
For any information, please send an email to CRG Training and Academic office (TAO): training@crg.eu