Contact FutureLearn for Support
Skip main navigation
We use cookies to give you a better experience, if that’s ok you can close this message and carry on browsing. For more info read our cookies policy.
We use cookies to give you a better experience. Carry on browsing if you're happy with this, or read our cookies policy for more information.
Online course

Health Data and Analytics

Explore key concepts in data analytics, systems theory and information governance, and apply them to healthcare decision-making.

Health Data and Analytics

Find out how to leverage data analytics to improve decision-making in healthcare

This online course explores the intersection of data analytics and healthcare. By the end of the course, you will know how to apply common frameworks and key concepts in data analytics, systems theory and information governance.

The course starts by examining how healthcare data is collected and stored. It then goes on to explore how information management methods, machine learning and data visualisation are used in data analysis.

You will learn to leverage data analysis tools and techniques to inform better decision-making in healthcare.

What topics will you cover?

  • What is healthcare data? Why is it important? What are the current challenges?
  • How to address the unique data challenges facing healthcare.
  • How can data impact healthcare innovation?
  • How to develop a healthcare data proposal.

When would you like to start?

  • Date to be announced

What will you achieve?

By the end of the course, you'll be able to...

  • Explore healthcare data and understand key terminology and concepts.
  • Identify key data challenges currently facing healthcare.
  • Identify current trends and approaches in dealing with challenges and limitations related to healthcare data.
  • Investigate how continual adjustments to data-centric health systems can be embedded within such systems to improve healthcare and health analytics.
  • Assess the tension between competing interests and needs of stakeholders in relation to the analysis of healthcare data.
  • Identify changes in medicine over the last 20 years.
  • Assess the objectives of personalised medicine and the way data aggregation is impacting its development.
  • Discuss the relationship between digital health and consumerisation of healthcare data.
  • Develop a project proposal that identifies a problem, and address the key aims and objectives in solving the issue.

Who is the course for?

This course is suitable for anyone interested in big data or health, particularly those working in public or private healthcare organisations or academic research in this area.

Who will you learn with?

Edward Meinert

I am a chartered engineer, and my principal interests are centred on digital health, data science and standards for the architecture of computational systems.

Hassan Chaudhury

An NHS healthcare data/informatics specialist with expertise in strategic consulting, I work with pharmaceutical, biotech, life science and healthcare organisations seeking market access solutions.

Yusuf Ermak

I am a healthcare data strategy specialist and I've supported a number of NHS organisations in the development of their data architecture, capability and tools.

Who developed the course?

InnoEnergy is the European company promoting innovation, entrepreneurship and education in sustainable energy.

EIT Health promotes healthy living, active ageing and improvements in healthcare.


content provided by
Learners collage mobile
Join this course


  • Access to this course for 6 weeks
  • Includes any articles, videos, peer reviews and quizzes

Upgrade - $79

  • Unlimited access to this course
  • Includes any articles, videos, peer reviews and quizzes
  • Certificate of Achievement to prove your success when you're eligible