Training materials
Scientific topics: Data integration and warehousing or Mathematics or Natural language processing or Software engineering
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hands-on tutorial
Hands-on for 'dplyr & tidyverse for data processing' tutorial
••• advancedSoftware engineering data-science R jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Hands-on for 'R basics in Galaxy' tutorial
• beginnerSoftware engineering data-science interactive-tools R -
hands-on tutorial
Hands-on for 'Introduction to Python' tutorial
• beginnerSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Lists & Strings & Dictionaries' tutorial
• beginnerSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
Video
FAIR software tools
• beginnerSoftware engineering FAIR software tools Software -
Video
Making cohort data FAIR
• beginnerData integration and warehousing Data management FAIR data Cohort data Ontologies Standards -
Video
Annotating data using next generation biobanking ontology (NGBO)
• beginnerData integration and warehousing Ontology and terminology Standards Ontologies Data Integration data harmonization Standardised vocabulary -
Video
Applying data standards to the harmonization of COVID-19 datasets from different sources
• beginnerData integration and warehousing Data integration Standards Standardised vocabulary data harmonization Ontologies -
Video
Useful ontologies for harmonizing cohort data
• beginnerData integration and warehousing Data management Ontology and terminology Ontologies Cohort data data annotation