A course on tools and practices for open, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software
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Updated
Jun 30, 2024 - Python
A course on tools and practices for open, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software
Bioconductor data science introduction
Data Analysis and Visualization in Python for Ecologists
Geospatial Data Carpentry with R for Urbanists
The content behind Elixir School
Introduction to Probabilistic Programming
Python Intro for Libraries
Data Analysis and Visualization in R for Ecologists - the version at https://github.com/datacarpentry/R-ecology-lesson-alternative will be merged on 8th July 2024
Version Control with Git
Data Cleaning with OpenRefine for Ecologists
R for Reproducible Scientific Analysis
Introduction to dMRI
Data Organization in Spreadsheets for Social Scientists
Software Design by Example: a tool-based introduction with Python
Reproducible Computational Environments using Containers
An alternative version of the Data Analysis and Visualization in R for Ecologists lesson - to be adopted into official curriculum on 8th July 2024
Pilot e-learning training for rdm and privacy.
Library Carpentry: The UNIX Shell
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