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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...

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...

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

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 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 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 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 covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in...

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 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 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 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 is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...