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This course introduces participants from the health care sector to gender based violence (GBV), including global epidemiology of GBV, health outcomes, seminal research, policy...
This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...
This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This online course explores the ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology.
In this course, students will explore the core design of AngularJS, its components and code organization techniques. They will enhance the functionality of their web app by...
This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this...
This online course is designed to introduce participants to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the...
This online course provides a brief introduction to the U.S. food system. It also includes key historical and political factors that have helped shape the current food system.
This online course explores telemedicine as an important part of the future of healthcare. Key content areas include clinical considerations, patient safety, technology needs,...
This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.
This online course first gives an introduction to SARS-CoV-2 (corona virus), including the infectious period, the clinical presentation of COVID-19, and the evidence for how...
This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This online course provides an interdisciplinary and historical exploration of the BlackLivesMatter movement.
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...
This course provides an introduction to systems thinking and systems models in public health. Systems thinking is a core skill in public health and helps health policymakers...
This course is an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and...
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