About this course
Firms increasingly expect analysts to translate ambiguous business problems into structured, decision-ready models. Building a model from a blank Excel sheet, rather than working off a template, is a distinct skill, and one that separates analysts who can think structurally from those who only execute.
This course walks participants through building a dynamic P&L and market sizing model from scratch using a real-world case study. Participants will learn how to translate qualitative CEO-level questions - profit targets, market share feasibility - into model outputs that support decision-making.
By the end of the session, participants will have built a flexible, scenario-ready model and developed the structural thinking required to apply this approach to any business problem.
What you will learn
Framing the Business Problem
- Understanding the case study
- Translating qualitative CEO questions into model outputs
- Defining model architecture (Inputs → Calcs → Outputs)
Building the Revenue & Market Model
- Market sizing using population and penetration data
- Linking market size to unit demand
- Modeling price and volume dynamics
- Calculating revenue and implied market share
Cost Structure & P&L Build
- Constructing COGS from input-driven costs
- Modeling operating expenses (headcount, fixed costs)
- Incorporating depreciation and CapEx
- Building the full income statement from Revenue to Net Income
Model Flexibility & Scenario Analysis
- Designing key drivers for sensitivity
- Building simple what-if toggles
- Stress-testing business viability
Synthesizing Insights & Best Practices
- Answering the CEO questions clearly
- Common modeling pitfalls and how to avoid them
- Structuring models for client-ready communication