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Time Series Methods for Enrollment Forecasting
For higher education institutions, forecasting future enrollments is key for budget and resource planning. Naïve methods relying on historical conversion metrics and upstream indicators can provide estimates of expected outcomes. However, such methods are not responsive to early signals and do not naturally account for year to year variation in patterns.

Time series forecasting can provide actionable insights based on emerging trends and, when correctly calibrated, generate strong predictions even as conditions on the ground change. This webinar will discuss the requirements for generating a valid forecast, including ways to overcome some common challenges, and walk through two recent case studies demonstrating how well calibrated forecasts are able to accurately predict enrollments despite significant changes in procedures and processes over the last two years at two different institutions.

Dec 16, 2021 02:00 PM in Eastern Time (US and Canada)

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