Cancellation, Refund & Transfer Policy – Education Courses
This policy applies to all NABE Education courses (including CBE courses). All cancellation or transfer requests must be submitted in writing to [email protected]. The program start date is defined as the first day of the course.
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Timing Before Program Start
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Standard Registrations
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Scholarship Recipients
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30+ days
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Full refund, minus $75 administrative fee
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One-time transfer to a future offering within the scholarship window (no fee)
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14–29 days
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No refund; one-time credit toward a future course of equal/lesser value (valid 12 months). $150 transfer fee applies.
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One-time transfer to a future offering within the scholarship window; $150 transfer fee applies
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13 days or fewer / no-shows
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No refund or credit available
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No transfers allowed
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Substitutions
Substitution requests will be considered upon written request submitted at least 4 business days prior to the program start date. Approval of substitutions is at NABE’s discretion.
Emergency Exceptions
Exceptions will be considered only in cases of documented medical emergencies or serious personal hardship. Requests must be submitted in writing to [email protected] within 7 days of the program start date. All decisions are at NABE’s sole discretion.
About the Instructor
Brian Quistorff is Chief Data Scientist at the Bureau of Economic Analysis (BEA). Previously, he was a Research Economist in the Office of the Chief Economist at the BEA. Prior to joining the BEA, he was an Economist in the Office of the Chief Economist in the AI + Research division of Microsoft. This group combined Economists with traditional Data Scientists to address difficult challenges facing Microsoft. He worked across many products groups, including Office and Gaming, and on external engagements, including with the World Bank. He specializes in embedding Machine Learning into existing Econometric methods to both improve the quality of estimation/causal inference and to save time/reduce errors in model selection. He also works to open source generic tools to benefit the broader analytics community. He holds a PhD in Economics from the University of Maryland, a MA of Economics from the University of British Columbia, and a BS in Computer Science from Stanford University.