Introduction to R and RStudio for Data Analysis in Scientific Research

The objective of this course is to equip participants with the fundamental skills and knowledge to confidently use R and RStudio for data analysis in scientific research. They will gain practical experience in using R for data manipulation, visualisation and analysis, empowering them to extract meaningful insights from their datasets. Throughout the course, learners will explore essential concepts such as importing data, data types and structures, transforming data, scripts and projects, R packages, using help documentation and troubleshooting and basic statistics. By the end of the course, participants will have a solid foundation in R, enabling them to continue in their own R journey efficiently and effectively. 

Course convenor: Shaun Nielsen, MS (Biostatistics), PhD (Bioscience)

Dates: 21, 22, 28 & 29 May

Hours: from 9:30 a.m to 13.00 p.m. (12 hours)

Book your place in this email: mcnc104@mncn.csic.es

Who this course is for?

Students and academics using R for research

Prerequisites

No previous R knowledge

Material required

• Computer with R and RStudio installed (further instructions will be give prior to the start of the course)

Material provided

• Lecture notes covering core concepts
• Coding exercises and example datasets

Course outline

The course will consist of 4 modules to be completed over 12 hours (3 hours over 4 days). The course will use the book ‘R for Data Science’ by Wickham and Grolemund (https://r4ds.hadley.nz/) and ‘Introductory Statistics with R’ by Peter Dalgaard as reference material.

Access to the complete information here.