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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 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 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 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...

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 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 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 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...

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...

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 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 teaches how to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization,...

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 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...

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...

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 series gives an introduction to data science. The courses cover the concepts and tools needed throughout the entire data science pipeline. It covers topics...

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 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...