TUESDAY, FEBRUARY 9, 2021
1:00 PM --- 2:30PM
Ever wondered what the difference is between supervised and unsupervised learning? Or what the difference is between an association and a correlation? Descriptive, predictive, and prescriptive modeling? This session is for you! Using examples from his work at DFCI, Alex Post will show researchers with little (or no) analytics experience which concepts can be applied to each step of the prospect research cycle and pipeline. Walking away from this session attendees should be able to have a much more knowledgeable conversation with their data analyst or and a basic understanding of how to start applying these concepts themselves to analyze their constituents. Key concepts that will presented include: various types of analytics, machine learning basics, useful actionable visualizations, and other helpful resources & tools.
Alex Post is currently the Data Analyst on Dana-Farber Cancer Institute’s prospect research team where he enhances internal donor and patient data, integrates external demographic and capacity sources, and provides DFCI Philanthropy stakeholders with detailed and actionable analyses. He has automated key prospect research workflows, created custom prospecting tools, and helped develop various prospect prioritization scores. Passionate about the use of big data within philanthropy, he wishes to improve all aspects of the gift cycle using analytics. Previously, Alex was a consultant specializing in data-driven decision-making for healthcare companies ranging from small startups to pharmaceutical giants as they looked to innovate and overcome critical business challenges.
Are you a current or recently lapsed NEDRA member and want to attend this program for free? Apply for the need-based NEDRA Community Scholarship.
Attendees will receive a Zoom link a day before the event. Please note: this session will not be recorded.
Registration for this event closes on February 8, 2021 at 9:00AM.
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