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https://github.com/nhsdigital/datascience-seminars
A repo to hold resources and code from data science seminars. For more info contact [email protected].
https://github.com/nhsdigital/datascience-seminars
data-science health healthcare nhs nhs-digital pyspark python python3 rap reproducible-analytical-pipeline
Last synced: 11 days ago
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A repo to hold resources and code from data science seminars. For more info contact [email protected].
- Host: GitHub
- URL: https://github.com/nhsdigital/datascience-seminars
- Owner: NHSDigital
- License: mit
- Created: 2023-08-03T11:12:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-10T13:39:14.000Z (6 months ago)
- Last Synced: 2024-07-11T00:06:00.660Z (6 months ago)
- Topics: data-science, health, healthcare, nhs, nhs-digital, pyspark, python, python3, rap, reproducible-analytical-pipeline
- Language: Python
- Homepage:
- Size: 2.64 MB
- Stars: 2
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# Data Science Seminars
[](./CODE_OF_CONDUCT.md)
A repo to hold resources and code associated with the (formerly NHS Digital) NHS England Data Science team's technical learning sessions, referred to as 'seminars'.
Data Science Seminars provide a regular opportunity for those in the NHS who are interested in data science, to share code, skills and knowledge, provide advice and guidance to each other and generally network and get to know each other.
## When and where
Our seminars take place on an ad hoc basis, usually monthly. Details of the specific seminars are provided in event invites sent out byt the [email protected] mailbox. Please note that due to the merging of NHS Digital, NHS England and Health Education England, these events might change in frequency, content and audience.
## Terms
This repo and its contents represents internal training materials and should not be considered official policy.
Unless stated otherwise, the code in this repository is released under the [MIT Licence](./LICENSE.md). Please note that other contents of this repository is licensed under the Open Government 3.0 Licence and released with a [Contributor Code of Conduct](./CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms.
## Contributing
If you would like to add resources and code from your session, please fork or clone the repository and create a new branch.
Emulating the [Department for Transport's (DfT) sensible approach](https://github.com/departmentfortransport/coffee-and-coding) - and to induce standardisation across the different Coffee and Coding programs across UK Government Departments - your folders should adhere to the following conventions:
`YYYYMMDD_Topic_Name`
All folders should contain a `README.md` with notes or a brief explanation about the session and materials of that folder.
We don't have strict requirements for the content, but please make it as clear, accessible and easy to use as possible.
## Contact
For more information contact [email protected].
## Acknowledgements
We have borrowed a lot from other [Coffee and Coding](https://analysisfunction.civilservice.gov.uk/support/reproducible-analytical-pipelines/coffee-and-coding/) sessions organised across the public sector. See [this full list](https://docs.google.com/spreadsheets/d/13HstI9VZViUr3jxTQPMMK-gctkVeyig-7HDhN4fU1_E/edit#gid=0) for details.