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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 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 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 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 patient safety and quality improvement in healthcare (part 2 of 3).
This online course is intended for people who will plan, implement, and/or evaluate training programs for community health workers.
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This MOOC explores chemicals in the environment, how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and...
This online course explores the health behavior of individuals and how it can be encouraged by the behavior of families, social groups, communities, organizations, and policy...
This MOOC examines the community context of the changes needed to promote the public’s health.
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 online course explores the ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology.
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 MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
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 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 explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
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 course presents the fundamental probability and statistical concepts used in elementary data analysis.
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