Training materials
Scientific topics: Data visualisation
and Across all spaces: true
and Target audience: Research Scientists
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Scientific topic
- Data visualisation
- Biomedical informatics12
- Clinical informatics12
- Cloud computing12
- Computer science12
- Data management12
- FAIR data12
- Findable, accessible, interoperable, reusable data12
- HPC12
- Health and disease12
- Health informatics12
- Healthcare informatics12
- High performance computing12
- High-performance computing12
- Medical informatics12
- Metadata management12
- Research data management (RDM)12
- Applied ontology4
- Ontologies4
- Ontology4
- Ontology and terminology4
- Ontology relations4
- Terminology4
- Upper ontology4
- Data mining1
- Data rendering1
- Pattern recognition1
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Content provider
- Elixir TeSS1
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Difficulty level
- Beginner1
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Target audience
- Research Scientists
- Scientific community2
- Bioinformaticians1
- Biomedical Researchers1
- Data Managers1
- Data Scientists1
- 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
- PhD candidates1
- Researcher in life sciences1
- Scientists1
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Contributor
- Sabine Österle1
- Vasundra Touré1
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- Mock data1
- Training materials1
- Video1
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