Training materials
Target audience: Researcher
and Include broken links: true
and Scientific topics: Data visualisation
2 materials found
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Scientific topic
- Data visualisation
- Data management6
- Metadata management6
- Research data management (RDM)6
- Data archival2
- Data archiving2
- Data curation2
- Data curation and archival2
- Data preservation2
- Data rendering2
- Database curation2
- Research data archiving2
- BioNLP1
- Bioinformatics1
- Cloud computing1
- Computer science1
- HPC1
- High performance computing1
- High-performance computing1
- Literature mining1
- NLP1
- Natural language processing1
- Text analytics1
- Text data mining1
- Text mining1
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- ELIXIR1
- ELIXIR Estonia1
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Competency level
- Beginner2
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Target audience
- Researcher
- Students3
- Bioinformaticians2
- Data Managers2
- Data Scientists2
- Researchers2
- Scientific community2
- Scientists2
- Analysts1
- Anyone wishing to interpret graphs showing the progression of COVID-19.1
- Biologists1
- Biomedical Researchers1
- Clinicians1
- Graduate Students1
- Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
- PI1
- PhD candidates1
- PhD students1
- PostDocs1
- Postdoctoral Researchers1
- Postgraduate students1
- Research Scientists1
- Research Software Engineers1
- Researcher in life sciences1
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Resource type
- lessons2
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Related resource
- Data Visualisation (theory) 1
- R basics1
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