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 contact 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.
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All sessions take 2 hours on Tuesday evenings from 19:00 - 21:00 and take 1-2 hours of preparation each.
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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.
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All presentations will be recorded and recordings will be available for about 6 months after the course.
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You’ll receive a certificate of attendance for attending 9 of 12 sessions or (if you prefer) after completing a final assignment.
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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 (Mercator Building; 5415.0031)
Session
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Date Time 19:00 - 21:00
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Preparation
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1
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5 March (Hybrid)
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Install R and R studio
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2
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12 March
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H1-H2.3: Intro and Basic vectors
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3
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19 March
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H2.8: dataframes, factors and formulas
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4
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26 March
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H2–H3.1: Read and write CSV
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5
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2 April
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H3: (optional time to catch up)
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6
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9 April
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H4.4: Dplyr, filter, select, summarise
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7
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16 April (Hybrid)
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H4: Tidyr, join and restructure tables
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8
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23 April
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H5.4: Basic graph
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No session on 30 April
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May holiday
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9
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7 May
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H5: Graph with extra's
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10
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14 May
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H6: Descriptives
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11
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21 May
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H7: Statistical tests
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12
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28 May
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H8: Extra's and programming
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May 2024 – 3 week course
All sessions take 4 hours and take 3-4 hours of preparation each. All presentations will be given via the Kaltura classroom (no account needed) 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 5 of 6 sessions or (if you prefer) after completing a final assignment.
Session
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Date
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Your Preparation
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1
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Tue May 14th 9:00-13:00
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Install R and R studio or start in UWP/VRW
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2
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Thu May 16th 9:00-13:00
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H 1 – 2.7 Intro and Basics
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3
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Tue May 21th 9:00-13:00
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H2.8 – H 3 Basics and import Data
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4
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Thu May 23th 9:00-13:00
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H 4 Working with tables
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5
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Tue May 28th 9:00-13:00
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H5 Graphs
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6
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Thu May 30th 9:00-13:00
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H 6 – 8 Descriptives, tests, programming
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If you want to be notified on future courses in R (or Python) please mail the teacher Theo van Mourik (t.j.van.mourik rug.nl).