Clinician Coders
Learn the basics of programming
Date - Monday 13 & Friday 17 May 2024 (two day course - participants must attend both days)
Time - 09:00 - 16:00
Venue - UCL Main Campus
Places - 15
Eligibility - All healthcare professionals
Booking Fee - £350
The Clinician Coders workshop is provided by the UCL Academic Careers Office. All healthcare professionals are welcome to register. Places will be offered on a first come, first served basis.
Coding language: The course uses the open-source statistical computing language R, and a freely available application for working with R called
R Studio
• A single document, or script, encodes the steps necessary to take data from a spreadsheet form into R, and out into a simple analysis, or a beautiful data visualisation.
• When new data is entered, a single key stroke is needed to re-run the entire analysis and update the output. Sharing your work is as simple as sending a copy of your code to a collaborator.
Data: Participants will have access and gain experience working with a synthetic dataset based on Critical Care Health Informatics Collaborative data.
Content: The workshop will consist of eight sessions over four afternoons, including an afternoon to go through your own project raw data with experienced R savvy facilitators.
The topics covered will be:
1.
Introduction to R and coding for absolute beginners.
2.
Advice on keeping a clean dataset that is easier to analyse.
3.
Introducing the concept of a dataframe and how to import data into R.
4.
Data wrangling and basic skills to sort and explore your datasets.
5.
Visualising data. Advise on appropriate visualisation methods depending on the data.
6.
Descriptive and basics of inferential statistics – Statistics in R primer.
7.
Introducing control flow and looping as tools to support data analysis.
8.
Creating, recording and reusing workflow coding – save time!
Please direct any enquiries to Alex Teale via
[email protected], Academic Careers Office, UCL.
Selecting 13 May below books you for both days of the course.
