About: This session is designed to provide users with practical guidance on making use of Predictive Analytics at your institution! This session is best suited for Rapid Insight users of Predict, student success professionals, individuals that support student success via predictive modeling or data analysis, and individuals interested in learning how to use Predict to support their student success work.
Session Description
If you’re exploring the potential of predictive modeling for admissions, enrollment, or student success initiatives, you’re likely already on the path towards success.
In this session, we uncover how steps you may already be taking with your data can lead you to implementing successful predictive analytics that align with your institution’s specific needs and goals. We break down the essential steps for integrating predictive modeling into your institutional strategies, including:
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Collect data relevant to your target of analysis
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Organize data into a single dataset
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Clean your data to avoid a misleading model
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Create new, useful variables to understand your records
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Choose a methodology/algorithm
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Build the model
Whether you’re new to predictive analytics or seeking to refine your approach, this session will equip you with practical strategies to leverage existing data for predictive modeling.
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