Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advanced Forecasting Models for FP&A: Time Series, Seasonality, and Scenario Systems in Excel & Python: Practical Techniques

Advanced Forecasting Models for FP&A: Time Series, Seasonality, and Scenario Systems in Excel & Python: Practical Techniques

Munrow, Danny
Wexler, Graham

Paperback

AccountingInvesting & FinanceApplications

ISBN13: 9798275792942
Publisher: Independently Published
Published: Nov 23 2025
Pages: 398
Weight: 1.17
Height: 0.82 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

This book gives FP&A analysts, finance leaders, and data-driven operators a complete system for building modern forecasting engines using Excel, Python, and hybrid modeling workflows. Grounded in real business dynamics, it covers trend decomposition, seasonality mapping, rolling forecasts, sensitivity grids, Monte Carlo stress paths, and scenario architectures designed for executive decision making. You'll build models that adapt, update, and scale, reducing noise, increasing accuracy, and giving finance teams the ability to anticipate inflection points before they occur. Whether you support a fast-growing SaaS company, a global enterprise, or a traditional operating business, this guide gives you the templates, theory, and practical structure to deliver forecasts that leaders actually use.

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