Courses

A data science life cycle defines the phases (or steps) in a data science project. Using a well-defined data science life cycle is useful in that it provides a common vocabulary (and shared mental model) of the work to be done. This module goes over the data science life cycle with real-world case studies.


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Machine learning is in high demand, as companies and organisations are looking for ways to turn their data into actionable insights. This module covers state-of-the-art machine learning models focusing on classification and regression problems. Participants will learn how to train, evaluate, and deploy the machine learning models.


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Big data has become a challenge for many traditional data analytics techniques. This module introduces big data infrastructure, distributed computational paradigm, and distributed data analytics algorithms for common real-world applications.


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Certificate Programs

UW Tacoma School of Engineering and Technology Data Science Certificate. Three required courses over Fall, Winter, and Spring Terms.