Below are the dates and times of the next known Introduction to R-course(s). The content of these courses is the same each time. If these dates don’t suit you and you want to be notified on future courses please mail me (Theo van Mourik, t.j.van.mourik rug.nl).
November 2023 – 2 week course
All sessions take 4 hours and take 3-4 hours of preparation each. All presentations will be given via the online classroom Blackboard collaborate (no account needed). Even if sessions would be onsite, you can always choose to join online. All presentations will be recorded and recordings will be available for about 6 months after the course. You’ll receive a certificate of attendance for attending 5 of 6 sessions or (if you prefer) after completing a final assignment.
Session - Date - Your Preparation
1 - Mon Nov 20th 9:00-13:00 - Install R and R studio or start in UWP/VRW
2 - Wed Nov 22nd 9:00-13:00 - H 1 – 2.7 Intro and Basics
3 - Fri Nov 24th 9:00-13:00 - H2.8 – H 3 Basics and import Data
4 - Mon Nov 27th 9:00-13:00 - H 4 Working with tables
5 - Wed Nov 29th 9:00-13:00 - H5 Graphs
6 - Fri Dec 1st 9:00-13:00 - H 6 – 8 Descriptives, tests, programming
January - February
We’ll probably plan an Introduction to R course at the start of the new year, but we have no dates set yet. If you want to be kept up to date and/or have suggestions, please mail: Theo van Mourik, (t.j.van.mourik@rug.nl).
March 2024 – 12 week evening course
This evening course is a yearly tradition by now; set up specifically for Life-Long-Learners who work all day, but still want to learn R. To accommodate for the late hour this course will be given more light-heartedly. We’ll make it ‘gezellig’. If it helps, during the presentations, some key words can be translated to Dutch and of course participants can ask their questions in Dutch as well if that is easier for them.
All sessions take 2 hours on Tuesday evenings from 19:00-21:00 and take 1-2 hours of preparation each. All presentations will be given via Blackboard collaborate and can be followed online. Even if sessions would be onsite, you can always choose to join online. All presentations will be recorded and recordings will be available for about 6 months after the course. You’ll receive a certificate of attendance for attending 9 of 12 sessions or (if you prefer) after completing a final assignment.
Each week we’ll join online on Tuesdays. Sessions 1 and 7 are hybrid. On those sessions you can still join online, but you can also join in the classroom at Zernike in Groningen (to be announced).
Session - Date & Time - Your preparation
1 - 5-Mar 19:00 - 21:00 Hybrid - Install R and R studio
2 - 12-Mar 19:00 - 21:00 - H1-H2.3 Intro and Basic vectors
3 - 19-Mar 19:00 - 21:00 - H2.8 dataframes, factors and formulas
4 - 26-Mar 19:00 - 21:00 - H2 – H 3.1Read and write CSV
5 - 2-Apr 19:00 - 21:00 - H3 (optional time to catch up)
6 - 9-Apr 19:00 - 21:00 - H4.4 Dplyr, filter, select, summarise
7 - 16-Apr 19:00 - 21:00 Hybrid - H4 Tidyr, join and restructure tables
8 - 23-Apr 19:00 - 21:00 - H5.4 Basic graph
No session 30-Apr 19:00 - 21:00 May holiday
9 7 - May 19:00 - 21:00 - H5 Graph with extra's
10 - 14-May19:00 - 21:00 - H6 Descriptives
11 - 21-May19:00 - 21:00 - H7 Statistical tests
12 - 28-May19:00 - 21:00 - H8 Extra's and programming