Scenario Modeling Platform
Test different business outcomes without rebuilding your entire spreadsheet. Adjust variables and see immediate impacts across linked metrics.
Financial Analysis That Actually Makes Sense
We teach Australian professionals how to read financial data without drowning in spreadsheets. Real software. Real scenarios. No jargon overload.
View Autumn 2026 Program
Kendrick Ashford
Lead Instructor
Spent 12 years helping finance teams interpret messy data. Now I show others how to spot patterns faster.
How We Approach Teaching Financial Tools
Start With Questions, Not Formulas
Most courses throw you into Excel functions on day one. We start by asking what decisions you're trying to make. Then the tools become obvious.
Work With Messy Data From Day One
Clean datasets are rare in the real world. You'll handle incomplete records, conflicting sources, and the kind of chaos you actually encounter at work.
Build Your Own Analysis Framework
Rather than memorizing someone else's templates, you'll create models that fit your specific industry and role. This means fewer generic examples, more relevant practice.
Get Feedback That Improves Your Process
I review your approach, not just your answers. If your logic works but could be clearer, you'll know why and how to adjust it for next time.
Three Software Tools You'll Actually Use
These aren't theoretical exercises. Each tool addresses specific analysis challenges that come up in Australian business contexts.
Visual Dashboard Builder
Transform raw numbers into charts that executives actually understand. No design background required—focus on clarity instead.
Collaborative Analysis Workspace
Share working files with teammates who can add context without breaking your formulas. Version control that makes sense for financial work.
What Six Months of Practice Looks Like
Our autumn 2026 program runs from March through August. Each phase builds on what you've learned, with time to apply concepts between sessions.
1
Months 1-2: Understanding Your Current Process
We start by mapping how you currently handle financial data. What takes too long? Where do errors creep in? You'll document your workflow before changing it.
2
Months 3-4: Building Faster Analysis Methods
Now you'll learn software techniques that cut repetitive work. Automation for recurring reports, faster data cleaning, and validation checks that catch mistakes early.
3
Months 5-6: Applying Skills to Your Actual Work
The final phase involves analyzing real data from your job (with confidentiality maintained). You'll present findings and get detailed feedback on both technical accuracy and communication clarity.