Machine learning and data mining are emerging fields between statistics and computer science which ... This year, some or all of this teaching may be delivered through a combination of virtual classes ...

Identify the key components of the data mining pipeline and describe how they're related Apply techniques to address challenges in each component of the data mining pipeline. Identify particular ...

Identify the core functionalities of data modeling in the data mining pipeline. Apply techniques that can be used to accomplish the core functionalities of data modeling and explain how they work.

A practical approach to data mining with large volumes of complex data ... ensemble and bundling techniques, text mining; use of leading software tools; business examples and research literature. The ...

This introductory data mining course will give an overview of the models and algorithms used in data mining, including association rules, classification, and clustering. The course will teach the ...

Delivered through an online and flexible modality, select from different courses and pathways tailored towards your specific interest. Course topics include programming ... The Master’s in Data ...

A hands-on introduction to data visualization. The course is structured around a series of projects in which students will practice skills learned in class. The classroom format will include lectures, ...

The program is designed to meet the growing need for data science professionals, giving graduates the skills necessary to help organizations harness and understand the power of information. Guided by ...

Students in this program would develop a skill set that will allow them to take on current and future complex data challenges. Graduates will be able to store and access data from a variety of sources ...

Like many other scientific fields, genomics is increasingly incorporating big data, but this comes with its own set of ...