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Scientific topics: Data rendering
and Resource type: e-learning
and Target audience: Postgraduate students
1 e-learning material found
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Scientific topic
- Data rendering
- Bayesian methods1
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- Data visualisation1
- Descriptive statistics1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
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- Intermediate1
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Licence
- MIT License1
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Target audience
- Postgraduate students
- 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.2
- Analysts1
- Anyone wishing to interpret graphs showing the progression of COVID-19.1
- Clinicians1
- PhD candidates1
- PhD students1
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Author
- Amy Heather1
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Contributor
- Alison Harper1
- Fatemeh Alidoost1
- Nav Mustafee1
- Rob Challen1
- Tom Monks1
- Tom Slater1
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