The aim of this course is to provide an introduction to data science, using R and R Studio. Participants will be introduced to R language syntax, enabling them to write their own R code. Participants will learn about R data-types and data-structures, and they will be taught how to explore data and produce plots. Finally we will showcase how to use R for analyzing experimental data using simple statistical techniques like t-tests, analysis of variance and linear regression. The focus is on the application of the techniques with R, and not the underlying statistical theory behind them. This is the first module in a series or courses in Data Science with R, covering many different subjects, from cleaning up datasets to creating interactive and reproducible reports with transferable skills that would apply to any scientific or business domain. The course will be a combination of lectures and practicals.
The course is being offered online and runs for 3 weeks with a 1-day per week format. This makes the course less intensive and gives participants the opportunity to practise what they learn before progressing to the next chapter of the course."
Target Group | The course is aimed at PhD candidates, postdocs, and academic staff |
Group Size | 24 participants |
Course duration | 3 days |
Language of instruction | English |
Frequency of recurrence | To be determined |
Number of credits | 0.9 ECTS |
Lecturers | Ioannis Baltzakis, Alejandro Morales Sierra |
Prior knowledge | No prior knowledge of R is expected from the participants |
Location | Online |
EARLY-BIRD FEE 2 | REGULAR FEE 2 | |
PE&RC / WIMEK / EPS / WASS / VLAG / WIAS PhD candidates with an approved TSP | € 80,- | € 130,- |
a) All other PhD candidates b) Postdocs and staff of the above mentioned Graduate Schools |
€ 200,- | € 250,- |
All others | € 280,- | € 320,- |
1 The course fee includes a reader, coffee/tea, and lunches. It does not include accommodation
2 The Early-Bird Fee generally applies to anyone who REGISTERS AT LEAST 4 WEEKS PRIOR TO THE START OF THE COURSE
Claudius van de Vijver (PE&RC)
Phone: +31 (0) 317 485116
Email: claudius.vandevijver@wur.nl
Lennart Suselbeek (PE&RC)
Phone: +31 (0) 317 485426
Email: lennart.suselbeek@wur.nl
At this moment, this course is not scheduled yet. However, if you register your interest in this activity below, we will inform you as soon as the course is scheduled and registration of participation is opened.