800987 VU Data management and analysis for environmental sciences
winter semester 2019/2020 | Last update: 14.11.2019 | Place course on memo list- 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.
Individual project work
- Interdisciplinary and additional courses
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Group 0
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| Date | Time | Location | ||
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Tue 2019-10-15
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-10-22
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-10-29
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-11-05
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-11-12
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-11-19
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-11-26
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-12-03
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |
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Tue 2019-12-10
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10.15 - 13.00 | rr 19 rr 19 | Barrier-free | |