eLearnAfrica
Data Science for Healthcare: Using Real World Evidence
InnoEnergy
  • Start Date: 12 Nov, 2018
  • 5 weeks
  • Study Content: Videos


Discover the importance of real world evidence (RWE) and learn how it can be used in healthcare.

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

Understand real world evidence (RWE) and learn how to use it


Real world data (RWD) is the huge quantity of data that falls outside the boundaries of controlled clinical trials, data that is increasingly used to inform decisions in healthcare. Real world evidence (RWE), is the conclusions drawn from this data.


On this course you will learn how real world evidence can be used in healthcare, exploring current trends and existing methodologies for using it. You will consider ethics, design thinking, commercial applications, and the limitations of RWE.


You will also practice using RWE, applying a user-friendly business intelligence tool to examine RWD.


This course is for anyone with an interest in the relationship between ICT and healthcare, especially those interesting in data analysis. You might be an undergraduate student in data science, an analyst or commercial manager working in life sciences pharmaceuticals, healthcare regulation, biotech and medical devices. This course focuses on UK health data, however the course is relevant to learners in other countries.


To take part in this course, you will need a computer with high-speed access to the internet.


    • Certificate cost may vary. You will be redirected to the host page for cost and payment options.

    • InnoEnergy

      This university is part of the partnership between eLearnAfrica and FutureLearn.

    • You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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