Training materials
Difficulty level: Beginner
and Keywords: Clinical data or Curriculum development, course design, learning... or Programming or data-science
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Learning pathway
Linux learning pathways
• beginnerBioinformatics Linux Programming -
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability -
hands-on tutorial
Hands-on for 'Python - Try & Except' tutorial
• beginnerSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Files & CSV' tutorial
• beginnerSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Flow Control' tutorial
• beginnerSoftware engineering data-science jupyter-notebook