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Introduction to Health Data Analytics and R The University of Edinburgh

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This Introduction to Health Data Analytics and R course from The University of Edinburgh is ideal for health and social care professionals, data enthusiasts, or anyone interested in the intersection of health and technology.  Step into the future of healthcare with them and harness the power of data for better health outcomes. 

Overview

Key facts

In this Introduction to Health Data Analytics and R course offered by The University of Edinburgh, they will discuss what they mean by Health Data Analytics and then introduce you to a practical way you can begin to work with health data analytics by using one of the most widely used programming languages in the world of data science: R. 

R can be used across a wide range of health data applications from AI to bioinformatics to administration and epidemiology. 

Programme Structure

What you'll learn:

  • Describe what data science is, and what people mean when they use the term 'data analytics'.
  • Summarise what R is and why it is a useful tool to be able to use in the world of health data science.
  • Install and use R packages on your Mac or PC. 

Key information

Duration

  • Part-time
    • 1 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

What students do after studying

Join for free or log in to access our complete career info list.

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

  • Participants should be comfortable reading, writing, and conversing in English.
  • No prior experience with R is necessary.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Domestic

    Citizens or residents
    Free

Additional Details

  • Cost - Free

Funding

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Introduction to Health Data Analytics and R
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