Academic Careers Office Events and Training
24 June 2019–25 June 2019, 9:30 am–4:00 pm
Event Information
Open to
- All
Availability
- Yes
Cost
- £350.00
Organiser
-
Felipe Fouto – Academic Careers Office, SLMS
Location
-
TBABloomsbury CampusLondonWC1
Clinician Coders – Learning to code
Are you planning to apply data science to your research? Would you like to do hands-on coding and get support from experts and peers? Then Clinician Coders is for you.
Learn the basics of coding … in just two days!
15 places available for Healthcare professionals
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: Students will also have access and gain experience working with a Public Access excerpt of the Critical Care Health Informatics Collaborative data; an exciting new venture in data management of critical care patient data.
Content: The course will consist of seven sessions over two days, 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 – how to formulate results in R.
7. Creating, recording and reusing workflow coding – save time!
This Clinician Coders workshop has been collated and will be delivered by the Data Science Breakfast Club.
A waiting list will be in operation. Please call the Bloomsbury Theatre Box Office on 020-3108 1000 or e-mail us at ticketing@ucl.ac.uk if you would like your name to be added.