Hybrid

Data Analysis with R

R is a language that has become one of the most popular tools for manipulating, visualizing and analyzing data. While there are many R courses, learning these skills can involve a steep learning curve, especially for people with no experience in programming or data analysis. This course aims to help with this initial difficulty by equipping learners with essential skills in using R, including data wrangling and plotting.

The topics of this introductory course include data importing and exporting, handling real-life data sets and creating publication-ready plots with R. The topics will be covered using hands-on teaching and exercises.

Where & when

This is a two-day course from 9:00 to 16:30. The course will be offered on-site at the CSC Training Facilities (Keilaranta 14, Espoo, Finland) and online. Please note though that the course experience will be better in person. For participants joining the course on-site, lunch and a snack is included in the price.

Learning outcomes

After attending this course, participants will be able to:

  • Navigate RStudio
  • Understand R syntax and how to write R code
  • Import and export data using R
  • Use tidyverse package for data wrangling
  • Use ggplot2 package for creating high-quality plots
  • Perform basic statistics (t-tests, linear regression) in R

Pre-requisites

No pre-requisites. No previous experience in R, programming or working in a command line environment is required.

Target audience

Researchers and students from any field interested in getting started with R for data analysis or brushing up R basics.

Lecturers

Heli Juottonen and Aurélie Vancraeyenest (CSC)

Registration deadline: 30.9.2024