Imperial College London

Imperial College London is a community of problem-solvers dedicated to finding innovative solutions to the world's biggest challenges. Located in the heart of London, Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
A science-based university with an international reputation for excellence in learning and research, Imperial furthers its commitment to improving education worldwide through its learning and teaching strategy.

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Health Coaching Conversations (Coursera)

Aug 4th 2021
Health Coaching Conversations (Coursera)
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Are you a healthcare practitioner or student in a healthcare field? Do you want to learn how to have more empowering conversations with your patients and support them to take control of their own health and wellbeing? Are you looking for a course to start learning these skills that [...]
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Public Involvement in Research (Coursera)

Aug 4th 2021
Public Involvement in Research (Coursera)
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This course focuses on participatory approaches in research, known as 'public involvement' in the UK. You'll specifically, consider why citizens and patients would be involved in research and explore participatory approaches across and within the research cycle in more detail, diving into questions such as: What kinds of participation [...]
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Introduction to Digital health (Coursera)

Aug 2nd 2021
Introduction to Digital health (Coursera)
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This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, [...]
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Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning [...]
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Survival Analysis in R for Public Health (Coursera)

The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in [...]
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Logistic Regression in R for Public Health (Coursera)

Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, [...]
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Introduction to Statistics & Data Analysis in Public Health (Coursera)

This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, [...]
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Linear Regression in R for Public Health (Coursera)

Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how [...]
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Mathematics for Machine Learning: PCA (Coursera)

This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto [...]
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Mathematics for Machine Learning: Multivariate Calculus (Coursera)

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. [...]
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