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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 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...

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

In this course, students will explore the core design of AngularJS, its components and code organization techniques. They will enhance the functionality of their web app by...

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

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

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 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 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 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 the basic principles of neuroimaging methods and the neuroscience concepts and terminology necessary for a basic understanding of...

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 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...