Data analytics for health

1. Define a range of approaches, tools and methodologies for analysing healthcare data.
2. Discuss methods for data analysis suitable for specific healthcare data sets.
3. Apply data analysis and visualisation techniques to extract insights from healthcare data.
4. Compare effectiveness of data visualisation and analytics methodologies for extrapolating information from datasets.
5. Link, visualise and interpret healthcare data from a variety of data sources.

The programme is being delivered by blended learning; this allows you to experience the majority of course materials and lectures on-line, combined with face-to-face classroom work. This is a 5 week part-time course that is delivered both on-line and via 2 classroom-based lecture days in London. The format is designed to be flexible to allow you to pursue the course content alongside your work or in your free time via our moderated online learning management system. The face-to-face sessions will provide an opportunity to meet your class cohort in person and also consolidate learning via practical case-driven exercises at Imperial College.

We have designed the course this way to allow you the time to reflect and absorb teaching, as opposed to intense multi-day continuing professional development which can be both intense and time consuming. Our method of blended learning brings you the best of both online and classroom-based experience.

This course is open to all participants with an interest in the application of Information and Communication Technologies (ICT) within healthcare. The course content is designed to enable ICT professionals with the foundational skills to necessary to implement and manage data analytics projects in healthcare.

Imperial’s Global eHealth Unit identified a niche for providing professionals interested in technology projects with an approachable framework to begin to engage with these subjects. These two courses are designed to provide a foundation to get past the buzzword hype, provide principles to inform what is happening with the state of the art, and then give practical, case-study driven examples to provide a means to understand key concepts. Our courses are delivered in two parts: the first being a focus on principles, the second being a focus on industry application. To deliver this, we have researchers introducing key concepts, theories and frameworks, whilst we have industry collaborators making these concepts come to life with real world examples and cases. This combination will have you leaving our courses with ideas and perspectives that you can immediately implement at your organisation or on your next project.

If you are looking to launch a new company in eHealth and data science in healthcare, are a technology manager with oversight on teams delivering these initiatives or have general interest in moving into this space, then these courses are for you.