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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 cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.
This course discusses following questions: What’s the “hype” surrounding the Big Data phenomenon? Who are these mysterious data scientists everyone is talking about? What kinds...
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 series of 6 individual MOOCs gives an introduction to Big Data for beginners (no prior experience required). With these online courses, participants will develop a robust...
In this course students will build a hardware and software development environment to guide their journey through the Internet of Things specialization courses. The DragonBoard™...
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 course covers intermediate topics in software development. In this course, students will move beyond coding in the “main” method to learn to design and build more complex...
This course begins a series of classes illustrating the power of computing in modern biology. It teaches how to apply popular bioinformatics software tools to real experimental...
This course is designed to introduce students to the issues of energy in the 21st century – including food and fuels – which are inseparably linked – and will discuss energy...
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