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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 online course explores the ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology.

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 online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...

This course discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

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...

In this courses, students will learn what they need to know to begin assembling and leading a data science enterprise. It provides a crash course in data science to become...

This online course gives an introduction to data and their analysis and interpretation.

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 will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...

This online course gives an overview of the accomplishments and promise of the public health field.

This course will provide a crash course in what data science and big data mean and how they play a role in successful organizations

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 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 online course gives an introduction to patient safety and quality improvement in healthcare (part 2 of 3).

This course introduces methods to perform systematic reviews and meta-analysis of clinical trials. It will cover how to formulate an answerable research question, define...

This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.

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 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 series of MOOCs covers R software development for building data science tools. It helps participants to learn modern software development practices to build tools that are...