Data Science for Doc’s aim is to teach doctors, nurses, and other health care professionals basic concepts, skills, and tools for working more effectively with data. The lessons below were designed for those interested in working with Clinical data in Critical Care.
Content Contributors: Ahmed Al-Hindawi, Finn Catling, Steve Harris, Ed Palmer, Danny Wong
We have borrrowed heavily from the excellent Data Carpentry programme in producing this course. However, this is not a data carpentry course. We do not meet their specications (yet), although this is something we are working toward.
Lesson Maintainers: Steve Harris
Lesson status: Under Development
Here is a quick checklist but you’ll do best to follow the instructions here.
After every talk please do fill in our course feedback form.
Finally, please complete the pre-course survey.
We’ll cover a number of lessons during the 2 days. The programme is flexible, but an outline is available here.
Data files for the lesson are available here:
You are also encourage to bring along your own data. We can’t promise to spend time on this, but there are exercises to do along the way, and you might want to try these exercises out on your own work.
Where to get help? Firstly, we’d strongly encourage you to ask the group. To this end, we have set up a slack group - this is an instant messaging service (like whatsapp or similar) but with much better tools for sharing files, and working with code. If you’re on the course, you should already have received an invite. Let us know if not.
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