PhD Course: R Programming
The course covers the basics in R programming, a language and environment for statistical computing and graphics. The course includes a combination of lectures and computer exercises focused on visualization and statistical analysis. No prior knowledge is required.
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| Hours (HP): | 54 (2,0) |
| Code (s): | SC00035 |
| Week (s): | 9-12 (13-15 project work) |
The following topics covered are:
- Introduction to R programming and scripting
- Experimental design
- Introduction to statistical analysis in R
- Visualization in R
Notes
The course comprises 54 working hours where you are expected to spend time of your own to complete the exercises (self-studies)
Participants are required to bring their own computer with the corresponding administrator rights.
This course is a pre-requisite to take Gene expression analysis using R .
This course is recommended when taking the Analysis of Next Generation Sequencing course.