The workshops will, in the long term, enable students to:
Be capable of doing their own data analysis.
Be future proofed against new software. Students will be able to
pick up new version of existing software, or new software, and apply
them to their data.
Know how to assess computational performance and design appropriate
computational controls, and use these to evaluate parameter and
software choices.
Record their analysis workflow, publish reproducible analyses, and
track data provenance manually.
Use the appropriate statistical models and tools.
Gain in efficiency and expertise on their own, through reading,
or via informal interactions in person and online.
Choose and apply the appropriate computational resources.
Appropriately manage raw data and associated metadata.
Identify, troubleshoot, and solve common technical problems on their
own, or via informal interactions in person, and/or online.
LICENSE:
This documentation and all textual/graphic site content is licensed
under the
Creative Commons - 0 License
(CC0) -- fork @
github. Presentations (PPT/PDF) and PDFs are the property of
their respective owners and are under the terms indicated within the
presentation.
comments powered by Disqus