Introduction to R
Introduction to R
The R programming language is written by and for (data)scientists as a powerful tool for data science, statistics, and data visualization. R is free and open source, which means professionals around the world are continuously updating and adding functionality. With R, you can transform and investigate your raw data to gain actionable insights that drive intelligent decision-making and innovation.
Who Should Attend?
This introduction course is for everyone who wants to (re)learn the basics of the programming language R needed for data handling. This is useful for those new to R, or for those who have worked with R but never got the chance to get a good grasp on the basics themselves.
Prerequisits
None, but an idea of what you’d like to do with R would be nice.
Please note R has a steep learning curve. Expect you’ll need 2-4 hours between sessions to prepare for the next one and plan accordingly. Please be kind to yourself and allow yourself at least 48 hours to complete the course.
Content
In this beginner's course, you will be guided through the basics of importing data, cleaning and restructuring data, visualizing and summarizing your data, and finally applying statistical models to your data.
What do you learn?
✅ Introduction to R and R Studio
✅ R Essentials / Basics
✅ Reading data from files (using readr and openxlsx)
✅ Data transformations (using dplyr and tidyr)
✅ Exploratory data analysis: graphics (using ggplot2)
✅ Exploratory data analysis: despriptive statistics
✅ Statistical tests (how to run the tests, not how to interpret them)
✅ What's more (other useful packages and more classical programming)
Result
At the end of the course, you will not only be able to work with R, but you will also be able to expand your knowledge in your specific field.
Interactive Learning Experience
This course relies heavily on highly interactive (online or hybrid) sessions where we review what you’ve done in the reader. During a review the teacher will share his screen and go through the code asking you by voting and chatting to find the error or complete the code. These reviews are used to rehearse material, show tips and tricks, warn for common mistakes, explain error messages, show how to use the helpfiles and the program (IDE) in general, and overall to motivate you to keep up the pace. Participants report they are highly involved during these sessions and the course is consistently highly evaluated. On average this course is rated with an 8.2 (10% gives a 10!) by students, PHD’s and other employees alike.
More information
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For more information on this or similar courses, please mail the coordinator, Theo van Mourik (t.j.van.mourik rug.nl).
Last modified: | 25 November 2024 1.54 p.m. |