The aim of this course is to introduce the R programming language and how to use it to perform statistical inference and data visualization. Participants will be introduced to the R language syntax, basic types of data in R, how to explore data through descriptive statistics and visualization and how to apply a selection of basic techniques for statistical inference. The focus of the course is on the application of these techniques with R, and not on the underlying statistical theory which can be learnt in other courses. The course will be a combination of lectures, interactive live coding, individual exercises and self-study.
The course is spread across four days in two consecutive weeks and takes place on a dedicated Microsoft Teams group that will be created for the course. Each day of the course will be broken into three sections by a lunch break (1 hour) and two shorter breaks (20 minutes). Each section is chaired by one of the instructors who will share his computer screen with the rest of participants. During a section, theoretical concepts will be taught via a presentation, mixed with live coding practice, interaction with participants as well as short exercises (2 – 3 minutes each) performed by participants on their own. The other instructor will be answering questions on the chat of the Teams group.
Target Group | The course is aimed at PhD candidates, postdocs, and academic staff |
Group Size | 24 participants |
Course duration | 4 days (6 hours per day) from 9:00 to 15:00 hours |
Language of instruction | English |
Frequency of recurrence | Twice a year |
Number of credits | 0.9 ECTS |
Lecturers | Ioannis Baltzakis, Alejandro Morales Sierra |
Prior knowledge | No prior knowledge of R is expected from the participants |
Estimated self-study/practice time | 2 hours |
Location | Online (Microsoft Teams) |
EARLY-BIRD FEE * | REGULAR FEE * | |
PE&RC/WIMEK/EPS/WASS/VLAG/WIAS PhD candidates with approved TSP and WU EngD candidates | € 110,- | € 160,- |
PE&RC postdocs and staff | € 220,- | € 270,- |
All other academic participants | € 260,- | € 310,- |
Non academic participants | € 370,- | € 420,- |
* The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 21 OCTOBER 2024
Note:
IMPORTANT: ALWAYS read the Cancellation conditions for PE&RC courses and activities.
Sanja Selakovic (PE&RC)
Email: sanja.selakovic@wur.nl
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