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Coursera

Build & Validate Integrated Financial Models

Coursera via Coursera

Overview

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"Build & Validate Integrated Financial Models" is an intermediate-to-advanced course designed for finance professionals, analysts, and aspiring modelers who need to construct and validate sophisticated financial models with confidence. In a world where a single spreadsheet error can lead to billion-dollar losses, as seen in the infamous JPMorgan "London Whale" case, the ability to build reliable models is more critical than ever. This course moves beyond theory, guiding you through the practical, hands-on process of creating a dynamic three-statement model where the income statement, balance sheet, and cash flow statement are perfectly interconnected. You will learn to engineer the critical linkages that make a model robust and self-balancing. More importantly, you will master the art of model auditing, applying systematic checks to hunt down errors, diagnose root causes, and ensure your model's integrity. Through a series of expert-led screencasts, hands-on activities, and AI-powered coaching dialogues, you will build a complete model from scratch and then stress-test it, ensuring it is a reliable tool for forecasting, valuation, and strategic decision-making. By the end of this course, you won't just know how to build a model; you'll know how to build a model you can trust.

Syllabus

  • Constructing the Integrated Three-Statement Model
    • This module lays the foundation for expert-level financial modeling. You will move from a blank spreadsheet to a fully integrated three-statement model. The focus is on the architecture—understanding how to structure assumptions, build the core statements, and engineer the dynamic linkages that ensure the model is self-balancing and internally consistent.
  • Auditing and Validating the Financial Model
    • A model is useless if it's not accurate. This module equips you with the essential skills to audit and validate your financial model. You will learn how to perform systematic checks to ensure integrity, diagnose common errors, and use Excel's built-in tools to hunt down inconsistencies, ensuring your model is reliable and decision-ready.

Taught by

LearningMate

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