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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 online course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.

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 course explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

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 teaches the general concepts of data mining along with basic methodologies and applications. Then dives into one subfield in data mining: pattern discovery. It...

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 focuses on exploring data to make students understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that...

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 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 gives a broad overview of the field of graph analytics to learn new ways to model, store, retrieve and analyze graph-structured data.

This course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...

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 teaches how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a...

The course will teach students how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem...

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...

In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This online course explores how the games industry can use big data to enhance the gaming experience and increase profits.