Financial Modelling That Actually Makes Sense

Most analysts spend hours wrestling with spreadsheets that break every time you change an input. We teach you how to build models that are bulletproof and—here's the thing—actually get used by decision-makers.

Explore Our Method
Financial analyst reviewing complex valuation models on dual monitors

Why Your Models Keep Breaking

After working with hundreds of analysts, we've noticed the same problems pop up. Here's what we focus on fixing—and honestly, these are the bits most courses skip entirely.

Structure First

You know that moment when you change one cell and fifteen formulas break? That happens because most models aren't set up with proper architecture. We start with frameworks that scale without falling apart.

Real Industry Standards

Investment banks and corporate finance teams have specific ways they want to see things. Not because they're picky—but because consistency matters when millions are on the line. We teach those unwritten rules.

Scenario Planning

Single-point forecasts are basically fiction. The best analysts build models that show a range of outcomes and make it easy to test assumptions. That's what separates junior work from senior-level thinking.

Experienced financial analyst and course participant

Brigitta Lorenzen

Senior Analyst, Melbourne

Before this, I was patching together models from templates I found online. Everything worked until someone asked me to change an assumption—then it all broke. The practical sessions here showed me how to think through model design from scratch. Now when my manager requests scenario analysis, I can turn it around in an hour instead of panicking for two days.

Detailed financial forecasting spreadsheet with sensitivity analysis tables
September 2025 Intake

Build Models That Survive the Real World

Look, anyone can create a DCF that works once. The challenge is building something that withstands scrutiny from CFOs, survives audit reviews, and doesn't require you to be there every time someone has a question.

  • Three-statement integration that doesn't require manual balancing
  • Sensitivity tables that actually inform decision-making
  • Documentation approaches that make your work defensible
  • Error-checking systems you can trust
Get Course Details