Data Science for Student Success

Presentation Summary

In this presentation, Dev Nambi will show how data warehousing teams can create predictions to further campus goals. You will learn how to discover patterns in student data, turn them into accurate predictions, and explain the results using data visualization. We will cover topics as varied as student retention, course demand, and enrollment predictions. This talk will focus on using machine learning, statistics, and data science to understand student behavior. Finally, we will show how the University of Washington's Enterprise Data and Analytics team collaborates with campus groups to increase awareness and understanding of advanced analytics and its uses.

Presentation Speaker(s)

Dev Nambi

Presentation Files

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