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Data Science

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Data Science has become a mainstay in the battle with information overload and the preferred technology for exploring the science of Big Data. As research generates immense quantities of data, measured now in terabytes, the requirement for machine processing has moved from the realm of the data processing specialist to that of sophisticated and intelligent data management and analysis tools that can be used by anybody. Science, Engineering, Arts and many other endeavors will increasingly rely on such Data Science tools.

Data Science Modules

To facilitate broader understanding of Data Science in a wide range of disciplines, this project gently and thoroughly introduces the concepts and techniques of Data Science to undergraduate level students, and the professors who teach them. This material, in the form of teaching and learning modules, enables courses in many disciplines to incorporate a little or a lot of relevant Data Science content. While the modules do not cover all possible Data Science concepts, they do provide a broad and accessible entryway into the field.

These modules are appropriate for those who are brand new to the idea of Data Science, for those with minimum prerequisites and experiences with the concepts, and everybody in between.

What to Expect

In this modules, you will discover ready-to-use teaching and learning material for a variety of Data Science topics, from an introductory to advanced level. The modules are organized by general category and by topic within those categories. Each module is crafted with the goal of providing exposure to Data Science topics in an accessible way for students and faculty in just about any discipline. Introductory modules are easily tackled by students with no technical background, while more advanced modules require some technical knowledge (which can be obtained in earlier modules).

Module Organization

More modules to come................


Modules and materials created by the Machine Learning project