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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...

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

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

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 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 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 provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...

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 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 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 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 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 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 will provide a crash course in what data science and big data mean and how they play a role in successful organizations

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 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...