Master Financial Modeling Through Real-World Practice
Build professional spreadsheet skills that actually matter in business. Learn from practitioners who've spent years creating models for Australian companies, startups, and investment firms.
Explore Learning PathsBeyond Basic Spreadsheets
Most people think financial modeling means fancy Excel formulas. That's just the start. Real modeling is about understanding business logic, testing assumptions, and building tools that help people make better decisions.
- Revenue forecasting for subscription businesses and marketplaces
- Cash flow models that factor in seasonal variations and growth cycles
- Scenario planning tools for strategic decision-making
- Investment analysis frameworks for evaluating opportunities
- Financial dashboards that translate numbers into actionable insights
Three Ways to Build Your Skills
Choose the approach that matches where you are right now. Each path focuses on practical application rather than theoretical concepts.
Foundation Builder
Start with core principles. Learn to structure models, validate data, and create clear documentation that others can follow.
Industry Focused
Apply modeling to specific sectors like retail, tech startups, or professional services. Each has unique patterns and challenges.
Advanced Practice
Tackle complex scenarios involving multiple currencies, regulatory requirements, and sophisticated forecasting techniques.
Learn from Someone Who's Been There
Zara's Background
After eight years building financial models for Melbourne investment firms and growth companies, Zara noticed a gap. Most educational programs teach formulas without context.
She started focusing on the thinking process behind good models. How do you structure assumptions? When do you need sensitivity analysis? What makes a model useful rather than just accurate?
Teaching Philosophy
"I show students real models I've built – the messy first drafts, the iterations, the conversations with stakeholders that shaped the final version. Learning happens when you see the process, not just the polished result."
Her approach emphasizes practical application over theoretical perfection. Students work with actual company data and face the same challenges professional analysts encounter daily.
Real Scenarios, Real Solutions
These examples come from actual client projects. Names and specifics have been changed, but the modeling challenges are authentic.
Retail Chain Expansion
A clothing retailer needed to model the financial impact of opening five new stores across Brisbane and Perth. The model had to account for different rent structures, local market conditions, and seasonal sales patterns.
SaaS Revenue Forecasting
A software company required accurate predictions of subscription revenue, including churn rates, upgrade patterns, and the impact of different pricing strategies on customer lifetime value.
Manufacturing Cost Analysis
A furniture manufacturer needed to understand how raw material price fluctuations would affect profitability across their product lines, factoring in lead times and inventory management.
Learning Through Practice
Each scenario becomes a learning module. Students work through the same decisions, constraints, and trade-offs that shaped the original model.
You'll understand why certain approaches work better than others, and when to adjust your methodology based on available data and stakeholder needs.