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This online course (MOOC) explores Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir to reduce transmission of HIV.

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 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 explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....

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...

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

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 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 the use of evidence-based medicine in toxicology.

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 the planning, implementation, and evaluation of humanitarian health programs and projects. It discusses topics such as...

This online course gives an introduction to patient safety and quality improvement in healthcare (part 1 of 3).

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...

This course is an introduction to least squares from a linear algebraic and mathematical perspective.

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

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...