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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 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 online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.

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

This online course provides the learner with the skills for creating new visualization building blocks. Learners will be able to build the tools needed to visualize a wide...

This series of MOOCs covers R software development for building data science tools. It helps participants to learn modern software development practices to build tools that are...

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 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 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 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...

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 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...

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...

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 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 online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...

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 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...