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This course teaches how to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from...
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 explores the opioid epidemic in the United States and possible solutions.
This course is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This online course provides an interdisciplinary and historical exploration of the BlackLivesMatter movement.
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical...
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 will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...
This online course gives an introduction to patient safety and quality improvement in healthcare (part 1 of 3).
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 online course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.
This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...
This online course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services...
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 course covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...
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 online course (MOOC) explores Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir to reduce transmission of HIV.
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 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...
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