Imperial College London |
|
Linear Regression in R for Public Health (Coursera) https://www.coursera.org/learn/linear-regression-r-public-health Welcome to Linear Regression in R for Public Health! 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 patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch |
|
Logistic Regression in R for Public Health (Coursera) https://www.coursera.org/learn/logistic-regression-r-public-health Welcome to Logistic Regression in R for Public Health! 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, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characterist |
|
Mathematics for Machine Learning (CourseraSpecs) https://www.coursera.org/specializations/mathematics-machine-learning Offered by Imperial College London. Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data ... |
|
Mathematics for Machine Learning: Linear Algebra (Coursera) https://www.coursera.org/learn/linear-algebra-machine-learning In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data- |
|
Mathematics for Machine Learning: Multivariate Calculus (Coursera) https://www.coursera.org/learn/multivariate-calculus-machine-learning 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. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action |
|
Mathematics for Machine Learning: PCA (Coursera) https://www.coursera.org/learn/pca-machine-learning 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 lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruc |
|
Measuring Disease in Epidemiology (Coursera) https://www.coursera.org/learn/measuring-disease-epidemiology Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological res |
|
Participatory Approaches in Public Health (CourseraSpecs) https://www.coursera.org/specializations/participatory-approaches-public-health Offered by Imperial College London. Applying Participatory Approaches in Public Health. Evaluate different participatory tools, critique the ... |
|
Probabilistic Deep Learning with TensorFlow 2 (Coursera) https://www.coursera.org/learn/probabilistic-deep-learning-with-tensorflow2 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 that aims to quantify the noise and uncertainty that is often present in real world datasets. This is a crucial aspect when using deep learning models in applications such as autono |
|
Public Involvement in Research (Coursera) https://www.coursera.org/learn/public-involvement-in-research 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 can be undertaken at each of the 7 stages of the cycle? - how can you utilise participation in research? - what examples of using participatory approaches exis |
|
Quality Improvement for Population Health (Coursera) https://www.coursera.org/learn/quality-improvement-for-population-health Quality improvement methods were first deployed in healthcare in e hospital settings. However, over the past decade particularly, there has been increasing focus on the application of these methods in improving population and public health. In this course, you will apply a combination of both approaches to population health improvement. You will also learn how to study and evaluate large improvement initiatives to capture learning effectively. Learning Objectives: Apply quality improvement me |
|
Quality Improvement in Healthcare (CourseraSpecs) https://www.coursera.org/specializations/quality-improvement-healthcare Offered by Imperial College London. Develop skills and knowledge in Quality Improvements in Healthcare |
|
Science Matters: Let's Talk About COVID-19 (Coursera) https://www.coursera.org/learn/covid-19 Welcome to ‘Science Matters: Let's Talk about COVID-19’, from the Jameel Institute at Imperial College London. The outbreak of the Novel Coronavirus Disease (COVID-19) is the most significant public health emergency of the 21st century so far. As the epidemic spreads, people around the world want to understand the science behind the most pressing questions: how many people have been infected? How dangerous is the virus? When will a vaccine be available? How can the epidemic be contained, and th |
|
Statistical Analysis with R for Public Health (CourseraSpecs) https://www.coursera.org/specializations/statistical-analysis-r-public-health Offered by Imperial College London. Master Statistics for Public Health and Learn R. Develop your statistical thinking skills and learn key ... |
|
Study Designs in Epidemiology (Coursera) https://www.coursera.org/learn/study-designs-epidemiology Choosing an appropriate study design is a critical decision that can largely determine whether your study will successfully answer your research question. A quick look at the contents page of a biomedical journal or even at the health news section of a news website is enough to tell you that there are many different ways to conduct epidemiological research. In this course, you will learn about the main epidemiological study designs, including cross-sectional and ecological studies, case-control |
|
Survival Analysis in R for Public Health (Coursera) https://www.coursera.org/learn/survival-analysis-r-public-health Welcome to Survival Analysis in R for Public Health! 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 this context. Using the popular and completely free software R, you’ll learn how to take a data set from scratch, impor |
|
Systematic Creative Thinking: Tools for Success (Coursera) https://www.coursera.org/learn/systematic-creative-thinking Creativity is a widely acclaimed attribute. A range of creativity tools are available that rely on creativity principles to enable systematic idea generation. This module builds on the first module where various types of brainstorming were introduced along with the creativity diamond framework which provides a guide to which type of creative approach to use. Here we will introduce systematic creativity tools that can be used to provoke a wide range of ideas that might not normally arise and can |
|
TensorFlow 2 for Deep Learning (CourseraSpecs) https://www.coursera.org/specializations/tensorflow2-deeplearning Offered by Imperial College London. |
|
https://www.coursera.org/learn/types-of-vaccine This course explores the different types of vaccine available. This is a useful framework for understanding the scientific understanding that went into vaccine development. It also gives a perspective of how innovation (e.g. fundamental virology, molecular biology) work in a translational medicine context. On successful completion of the course, learners will be able to: 1. Identify features of different vaccine platforms 2. Demonstrate an understanding of the role of microbiological and |
|
Validity and Bias in Epidemiology (Coursera) https://www.coursera.org/learn/validity-bias-epidemiology Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this c |
|
What Do Viruses Do And How Do We Control Them (Coursera) https://www.coursera.org/learn/what-do-viruses-do-and-how-do-we-control-them This course describes how viruses interact with their hosts to infect, replicate, spread and cause disease. It looks at what controls the specificity of viruses for different host species and for different tissues within a host, also how this can lead to outbreaks and pandemics. It seeks to show how virus evolution is driven by the pressures to replicate and spread. Finally, it looks at how we can find antivirals and use them to control infections, distinguishing therapeutic approaches to prophy |