Mastering R Skills: Selected Topics for Successful Programming


R is a powerful and extensive language, and in recent years a lot of useful additions have been made. This also makes it confusing at times to link the different paradigms together and find the most optimal workflow.

This course is aimed at giving you more insight in how to work more efficiently with R and RStudio. We focus on some more challenging data types, and give an overview of the necessary building tools to optimize your workflow.

This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via

The following topics will be covered:

  • Working with text: text comparison and editing with help of regular expressions
  • Working with dates and times
  • Working with files, folders and projects to organise your work
  • Automating using functions for standard R, tidyverse and ggplot2

Schrijf je hier in voor lessen uit deze cursus

Mastering R Skills: Selected Topics for Successful Programming

  • Type of course: This is an on campus course.
  • Dates & times: April 4, 7, 11 and 14, 2022, from 5.30 pm tot 9 pm
  • Venue: UGent, Faculty of Sciences, Campus Sterre, Krijgslaan 281, building S9, 9000 Gent
  • Target audience: This course is aimed at R users with previous experience who want to optimize their workflow. The tools offered are useful both in research and in more commercial applications.
  • Exam/certificate: Participants who attend all classes receive a certificate of attendance via e-mail at the end of the course. There is no exam connected to this course.
  • Course prerequisites: Participants need previous experience with R and RStudio. They should have a good insight in how to work with vectors, matrices, data frames and lists. They also need to have a good basic understanding of the tidyverse data wrangling packages (dplyr and tidyr) and ggplot2. The topics covered in Module 1 - Getting Started with R Software for Data Analysis, Module 6 - Leverage your R Skills: Data Wrangling & Plotting with Tidyverse and Module 10 - Dynamic Report Generation with R Markdown of this year's program are considered as known.
  • Funding: => Our academy is recognised as a service provider for the 'KMO-portefeuille'. In this way small and middle sized businesses located in the Flanders region can save up to 30% on the registration fee for our courses. You can request this subsidy via up until 14 calender days after the course has started. => UGent PhD students can apply for a full refund from their Doctoral School.
  • Reduction: => If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment => Reduced prices apply to coworkers in governmental institutions, non-profit organisations and higher eduction as well as for students and the unemployed.
  • Enrolling for this course is possible via the IPVW-ICES website.