- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Content provider
- Elixir TeSS1
- Show N_FILTERS more
-
-
-
Keyword
- Python
- European research projects11
- FAIR principles11
- HemaFAIR11
- Open Science11
- Research Data Management11
- Data reuse8
- Data sharing8
- Metadata8
- Rare Diseases4
- ERDRI2
- Ethics2
- Registry2
- Common data model1
- Conceptualization1
- ELSI1
- Equality1
- Federated Analysis1
- Federated Data1
- Foundations of Data Science1
- Gender1
- Gender Equality Plan1
- OMOP1
- Ontologies1
- Project Management1
- Rare Diseases & Research1
- SQL1
- jupyter-notebook1
- Show N_FILTERS more
-
-
-
Difficulty level
- Intermediate1
- Show N_FILTERS more
-
-
-
Target audience
- Students
- Biologists7
- Biologists, Genomicists, Computer Scientists6
- beginner bioinformaticians6
- bioinformaticians4
- Bioinformaticians2
- Clinicians2
- Data Managers2
- PhD students2
- programmers2
- Beginner1
- Bench biologists1
- Biomedical Researchers1
- Computational biologists1
- 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
- PaN Community1
- PhD1
- PhD Students1
- Photon Community1
- Research Scientists1
- Scientists1
- computational scientists1
- life scientists1
- post-docs1
- research data scientist1
- software engineers1
- Show N_FILTERS more
-
-
-
Resource type
- e-learning1
- Show N_FILTERS more
-
- Only show materials from current space
- Show disabled materials
- Show materials with broken links
- Show archived materials