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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.
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...
This course will teach relevant fundamentals of human motor performance, perception, and cognition that inform effective interaction design.
This course offers an introduction to how we can start to understand this language by using algorithms to find hidden messages in DNA.
In this course, participants will first learn what a graph is and what are some of the most important properties. Then they will learn several ways to traverse graphs and how...
This MOOC discusses the integration and processing of large amounts of data. It explains processing patterns for big data.
This online course teaches how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.
Advanced algorithms build upon basic ones and use new ideas. The course will start with networks flows which are used in more obvious applications such as optimal matchings,...
This online course teaches how to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
This online course series teaches the critical skills needed to become a data scientist. It includes the mathematical and computational tools that form the basis of data science...
This course covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help participants...
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