Data Science for Doctors (April 2019)

The Royal College of Anaesthetists

Who is the course for?Clinicians involved with audit, quality improvement or research!If you're a clinician who has to wrangle a bit of data, and wishes they could do this better.If you've ever written a formula in Excel, that mysteriously broke.If you've hunted around for someone with a copy of SPSS to run a statistical test.If you've ever groaned when someone said, "You'll need to ask a statistician".Summary2 day course formatEndorsed and supported by the National Institute of Academic Anaesthesia Health Services Research CentreVenue: Royal College of Anaesthetists20 placesProgramme (subject to change)<ul><li>Day 1</li></ul><ol><li>Preliminaries</li><li>R for newbies</li><li>Excel Hell</li><li>Data pipelines</li><li>Data wrangling</li></ol><ul><li>Day 2</li></ul><ol><li>Just enough statistics</li><li>Data visualisation</li><li>An opportunity to work/practice on your own data or a provided dataset with help from the faculty</li></ol>What special knowledge do I need?None! No A-level maths. No coding experience.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 the standard deviation (but can't remember how to calculate it.)You want to present your work either in a report or to your colleagues.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.What happens on the course?A series of mini-lectures with practical sessions built-in, each lasting 30-40 minute, with coffee and tea available throughout the day. A light sandwich lunch will also be provided on each day.You bring your laptop. We'll walk you through the analysis pipeline, with plenty of supportive faculty available on hand to troubleshoot your problems (previous courses have had roughly 5 students to 1 faculty member).You'll start with an excel sheet of data we provide. We'll show you better ways to lay it out, and how to validate data as you go along. Then you'll fire up the R statistics package, and import your data. We'll then give you a whistle-stop tour of how to do some basic statistical tests. Finally, we'll show you how to build a beautiful data visualisation. You'll be sat in groups and sessions will be highly interactive.At the end of the 2 days, you'll go home with a working statistical software package on your own machine, the course guide, and a workflow that you can apply to your own data.We'll have a small team to help discuss your own projects during the coffee breaks.Some feedback from previous participants:"Very clear instructions and clear introduction to basic premises. Well presented by interested and enthusiastic teachers. Good interactive style and very approachable when I didn't know what I was doing!""Doesn't assume any coding knowledge, which is perfect for this absolute beginner!""I have used R for statistics before but only as a vehicle for running tests on data drawn from somewhere else. This has shown me just how much I was missing.""Really helpful, I've moved on a lot in a short space of time!"

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Data Science for Doctors (April 2019)

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