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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 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 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.
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 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...
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 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 explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
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 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...
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 /...
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 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 course presents the fundamental probability and statistical concepts used in elementary data analysis.
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 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 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...
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...
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