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This online course program explores the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate...

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 explores the health behavior of individuals and how it can be encouraged by the behavior of families, social groups, communities, organizations, and policy...

This course presents the fundamental probability and statistical concepts used in elementary data analysis.

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

This MOOC examines the community context of the changes needed to promote the public’s health.

This online course series gives an introduction to the strategies and tools required to implement effective patient safety and quality initiatives

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

This online course gives an introduction to Unix for learners who are new to programming and new to Unix-like operating systems like macOS and Linux distributions like Ubuntu.

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

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...

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 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 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 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 (MOOC) introduces the fundamentals of cancer biology, diagnosis, and treatment. Topics covered in the course are:Incidence and Etiology of CancerGenetics of...

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 course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.

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