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https://github.com/fhdsl/bench_to_bytes
A guide for wet bench researchers about why considering computational and data science skills can be useful for all types of scientific work.
https://github.com/fhdsl/bench_to_bytes
Last synced: about 2 months ago
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A guide for wet bench researchers about why considering computational and data science skills can be useful for all types of scientific work.
- Host: GitHub
- URL: https://github.com/fhdsl/bench_to_bytes
- Owner: fhdsl
- License: cc-by-4.0
- Created: 2024-05-15T18:56:36.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-05-22T20:17:39.000Z (8 months ago)
- Last Synced: 2024-05-22T20:45:58.102Z (8 months ago)
- Language: CSS
- Size: 30.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 5
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Bench to Bytes
This course was created from [this GitHub template](https://github.com/jhudsl/OTTR_Template).
You can see the rendered course material here: {Link to rendered bookdown and/or to the Leanpub.}
If you would like to contribute to this course material, take a look at the [OTTR documentation](https://www.ottrproject.org/).
## About this course
This course introduces motivations for learning computational and data science skills that can be beneficial for both wet and dry lab researchers across all scientific fields.
## Learning Objectives
This course will teach learners to:
- {You can use https://www.bobpikegroup.com/trainer-blog/5-steps-to-writing-clear-and-measurable-learning-objectives to define some learning objectives here}
- {More learning objectives}## Encountering problems?
If you are encountering any problems with this course, please file a GitHub issue or contact us at {Some email or web address with a contact form}.
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.