$1750

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3 Seats

The class will use Excel™ for hands-on instruction and includes lecture, demonstration, and guided discussion.

› Statistics for fire and EMS — without the difficult math

› Using AI for data cleanup and data engineering: CAD, NFIRS, NERIS, and RMS data

› Using AI for analysis: response times, turnout, travel, ERF, unit reliability

› Using AI for mapping: incidents, travel-time, station coverage, risk — without an ArcGIS license

› Excel for operations data: pivot tables, filtering, sorting, summarizing

› Percentiles, NFPA compliance, and what an honest response-time report looks like

› Effective Response Force, unit concentration, and order of arrival

› Identifying and handling outliers consistently — not just deleting them

› Setting performance objectives that are realistic and defensible

› Data quality: what to fix before any analysis, AI-assisted or otherwise

› Tables and graphs that communicate — and the ones that don’t

› Small-data considerations: when your numbers are too thin to support your claim

› Correlation: reading relationships between variables without overreaching

› Recognizing AI failure modes — the ones that will burn you if you don’t know to look for them