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

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more...

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 introduces methods to perform systematic reviews and meta-analysis of clinical trials. It will cover how to formulate an answerable research question, define...

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 course provides an introduction to systems thinking and systems models in public health. Systems thinking is a core skill in public health and helps health policymakers...

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 explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this...

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...

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

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

This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...

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

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 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...