Introduction to R
The R programming language is written by and for (data-)scientists to be a powerful tool for datascience, statistics and data-visualisation. R is free and open source, which means professionals all over the world are continually updating and adding functionality. With R you can transform and investigate your raw data into actionable insights that drive intelligent decision-making and innovation.
In this beginners course we'll guide you through the basics of importing data, cleaning and restructuring the data, visualizing and summarizing your data, and finally applying statistical models on your data.
At the end of the course you'll not only be able to work with R, but you will also be able to expand your knowledge in your own specific work field.
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 and employees alike.
|Last modified:||08 August 2023 09.38 a.m.|