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In this course, students will see how evolutionary trees resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans. They will then...

In this course, students will learn to interface common sensors and actuators to the DragonBoard™ 410c hardware. They will then develop software to acquire sensory data, process...

In this course, students will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping and...

This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.

This course is for novice programmers or business people who'd like to understand the core tools used to wrangle and analyze big data. It will give hands-on examples with Hadoop...

Internet search uses textual queries. These are strings from the point of view of computer science. To make sense of all that information and make search efficient, search...

This MOOC discusses the integration and processing of large amounts of data. It explains processing patterns for big 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...

In this course, students will learn about data structures, like graphs, that are fundamental for working with structured real world data. They will develop, implement, and...

This online course helps to learn the drug discovery process up to the filing of an Initial New Drug Application or IND.

This course considers the common data structures that are used in various computational problems. Participants will learn how these data structures are implemented in different...

This online course gives an introduction to virtual reality technology.The course aims to show what is important for successful virtual reality software and teaches how to write...

This online course teaches how to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.