800960 VU Data management and analysis for environmental sciences

winter semester 2020/2021 | Last update: 05.11.2020 Place course on memo list
800960
VU Data management and analysis for environmental sciences
VU 2
4
Block
annually
English

- Data and metadata management and formats

- Data storage and the use of online data repositories

- Data sharing: Ethics, obligations and ownership

- Data analysis and basic programming in R

- Tidy data and the ‘tidyverse’: efficient data manipulation and visualization

- Reproducible research: R markdown

- Version control

The aim of this course is to give advanced environmental science students an introduction into the concepts of data science. It will teach the ethics of open data, the concept and creation of metadata, and methods for efficient analysis of data. By the end of the course, students will know how to store and organise their own data and how to make it accessible and shareable and how to use online repositories. They will be able to analyse and visualize environmental data in R and create reproducible and shareable reports of their analysis. All course content will be backed up with practical examples from different environmental science disciplines.

Lectures combined with practical exercises on computers.

Written exercises with computer.

Not yet defined.

not applicable
see dates
Group 0
Date Time Location
Mon 2020-10-12
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-10-19
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-11-09
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-11-16
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-11-23
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-11-30
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-12-07
09.15 - 12.00 rr 14 rr 14 Barrier-free
Mon 2020-12-14
09.15 - 12.00 rr 14 rr 14 Barrier-free