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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 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 covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well....
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...
This online course series is intended for students looking to solidify their algebra and geometry necessary to be successful in future courses that will require precalculus and...
This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...
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 online course gives an introduction to the different types of healthcare systems and the systems engineering approach.
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
This course teaches how to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization,...
This online course teaches foundational knowledge in the care of persons with Alzheimer’s Disease and other neurocognitive disorders.
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
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 online course gives an introduction to the basic principles of neuroimaging methods and the neuroscience concepts and terminology necessary for a basic understanding of...
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 explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This online course gives an introduction to patient safety and quality improvement in healthcare (part 2 of 3).
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more...
This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
This online course program gives an introduction to interpreting data and statistical results of data analysis. It covers topics such as descriptive statistics, data...
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