Supporting Student Success with Predictive Analytics

Over 40% of first time undergraduate students do not graduate within six years of starting school. By identifying at-risk students as quickly as possible, a school can provide the necessary support to help the students stay in school and create success.

In this webinar, we discuss strategies on getting started with predictive analytics as a tool to help this process. We also discuss how to look beyond just first-year retention and incorporate a multi-year retention strategy with predictive analytics.

The presentation is followed by a short demonstration of a student retention predictive model within Rapid Insight software.

Alexander Ziko

Alexander Ziko

Data Analyst, Rapid Insight

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Decentralize analytics. Harness the power of many.

 
DOWNLOAD FREE TRIAL