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This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...

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

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

This online course provides a brief introduction to the U.S. food system. It also includes key historical and political factors that have helped shape the current food system.

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 telemedicine as an important part of the future of healthcare. Key content areas include clinical considerations, patient safety, technology needs,...

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.

In this course, students will learn the basic tools that every web page coder needs to know, starting from how to implement modern web pages with HTML and CSS and how to code...

This online course explores the use of evidence-based medicine in toxicology.

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 explains the basic principles for design of randomized clinical trials and how they should be reported. Participants will be introduced to terminology used in...

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 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 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 gives an introduction to key management skills. It includes aspects such as communication, working with teams, coaching (soft skills), strategy, projects, and...

This course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...

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....