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Featured byThe University of Edinburgh
Overview
It is designed to equip learners with the fundamental skills to work with real-world data, from loading and preparing datasets to exploring, visualising, and interpreting insights relevant to health and social care.
Participants will be guided through setting up a Posit Cloud account to use RStudio and working with publicly available datasets. The course covers essential programming concepts, data manipulation techniques, and visualisation methods using ggplot2, with a strong emphasis on ethical considerations in data use. Through practical examples and case studies, learners will develop confidence in applying data science skills to analyse health and social care data effectively.
By the end of this course, participants will be able to independently explore, clean, visualise, and interpret datasets, supporting evidence-based decision-making in their professional practice.
Who the course is for
This Basics of Practical Data Science for Health and Social Care course offered by The University of Edinburgh is for health and social care professionals who work with data. No prior coding experience is needed - just an interest in learning practical data skills using R.
Programme Structure
What you'll learn:
- Set up a Posit Cloud account to create a project in RStudio, load, manipulate, and explore health and social care datasets.
- Clean and prepare data for analysis by applying key data wrangling techniques.
- Create clear and effective visualisations using ggplot2, incorporating geoms, aesthetics, faceting, and themes.
- Interpret and communicate insights from data visualisations to inform health and social care decision-making.
- Recognise ethical considerations when handling health and social care data, ensuring responsible and secure data use.
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Edinburgh, United Kingdom
Disciplines
Health Sciences Data Science & Big Data View 283 other Short Courses in Health Sciences in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To take part in this course, you’ll need:
- A laptop or desktop computer
- A good working knowledge of English
- A stable internet connection
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents195 GBP / full≈ 195 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents195 GBP / full≈ 195 GBP / full
Funding
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