Data Science for Doctors

Health Data Research UK (HDR UK) is the national institute for health data with a mission to unite the UK’s health data to enable discoveries that improve people’s lives. It is a charity funded by UK Research and Innovation, the Department of Health and Social Care in England and equivalents in Northern Ireland, Wales and Scotland, and leading medical research charities.

Health Data Research UK (HDR UK)

Data Science for Doctors aims to teach health care professionals basic concepts, skills, and tools for working more effectively with data.

Wellcome Trust

This 2 day course is intended for clinicians involved in audit, quality improvement or research. Alongside clinicians, we also welcome participants who wish to take part in this course to familiarise themselves with the training materials and then run the same course in their organisations. The course consists of a series of mini-lectures with practical sessions built-in, each lasting 30-40 minutes. The programme is flexible, but an outline is available <a href="http://datascibc.org/Data-Science-for-Docs/CourseProgramme.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>.Lessons will include:<ul><li><a href="http://datascibc.org/Data-Science-for-Docs/00-lesson-00-intro.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Preliminaries</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/01-lesson-01-r-for-newbies.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">R for newbies</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/02-lesson-02-excel-hell.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Excel Hell</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/03-lesson-03-getting-data-into-r.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Getting data into R</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/04-lesson-04-data-wrangling.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Data wrangling</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/05-lesson-05-dataviz.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Data visualisation</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/06-lesson-06-ggplot2.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Plotting graphs with ggplot2</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/07-lesson-07-just-enough-statistics.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Just enough statistics</a></li><li><a href="http://datascibc.org/Data-Science-for-Docs/08-lesson-08-data-analysis-worksheet.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Data analysis practical</a></li></ul>Participants are requested to bring their own laptop. During the course they will walk through an analysis pipeline, with plenty of supportive faculty available on hand to troubleshoot their problems. At the end of the 2 days, participants will go home with a working statistical software package installed on their own machine, the course guide, and a workflow that can be applied to their own data.What special knowledge do I need?None! No A-level maths. No coding experience.<ul><li>You'll probably be someone who has collected some data in an Excel spreadsheet or similar. You already know about basic bar charts and scatter plots. You know how to calculate the mean, and have heard of standard deviation (but can't remember how to calculate it.)</li><li>You want to present your work either in a report or to your colleagues.</li><li>You're prepared to give up a few hours to learn a set of skills that you can use, and re-use in the future.</li></ul>Places are limited. If the event is full please join the waiting list so that we can notify you if a place becomes available and/or let you know when the next course is taking place.

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Data Science for Doctors

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