Financial Analysis Training That Actually Makes Sense

Starting September 2025, we're running a practical learning program for anyone who wants to get better at reading financial data.

Look, there's a lot of courses out there promising you'll become some kind of spreadsheet wizard overnight. That's not what this is. We're focusing on building real skills over six months—the kind of stuff you'll actually use when you're staring at balance sheets or trying to spot trends in quarterly reports.

Our instructors have been doing this work for years. They've made their share of mistakes and learned from them. Now they're sharing what actually works, not just what sounds impressive in a course description.

Meet The People Running This Thing

These aren't celebrity speakers who'll disappear after one lecture. They're the folks you'll be working with throughout the program.

Victor Hamill profile

Victor Hamill

Financial Modeling Lead

Spent 12 years building forecasting models for mid-sized companies. He's good at explaining why certain approaches fail before you waste time on them. Prefers practical examples over theory.

Sonia Kemp profile

Sonia Kemp

Data Analysis Specialist

Former banking analyst who now focuses on teaching people how to spot patterns in messy data. She's patient with questions and really good at breaking down complex concepts into manageable chunks.

Roland Cruz profile

Roland Cruz

Risk Assessment Mentor

Worked in corporate finance for 15 years before joining our team. He focuses on helping students understand risk indicators and how to communicate findings to non-technical stakeholders.

What You'll Actually Learn

We're covering the fundamentals that matter, then building on them progressively. No jumping around between random topics.

Financial analysis workspace

Foundation Phase (Months 1-2)

Reading financial statements without getting lost. Understanding what numbers actually tell you about business health. Building basic models that don't fall apart when you change one variable.

Application Phase (Months 3-4)

Working with real company data to identify trends. Creating forecasts that account for uncertainty. Learning when to trust the numbers and when to dig deeper.

Advanced Techniques (Months 5-6)

Comparative analysis across industries. Risk assessment frameworks you can actually use. Presenting findings in ways that make sense to people who aren't analysts.

Practical Projects Throughout

Every module includes hands-on work with datasets from Australian businesses. You'll get feedback on your approach and learn from what others are doing differently.

How We Approach Teaching

We're not trying to turn you into corporate clones. These are the principles that guide how we structure the program.

Real Data, Real Scenarios

We use actual financial reports from companies that have agreed to let us analyze their numbers. You'll work with the same messy, imperfect data you'll encounter in real jobs—not sanitized textbook examples.

Questions Are Expected

Everyone gets stuck on different things. That's completely normal. We build in time for discussions and one-on-one sessions because explaining concepts once in a lecture isn't enough for most people.

Learning From Mistakes

Some of the best learning happens when you misinterpret data or build a model that doesn't work. We create space for that. Our instructors share their own past mistakes too—it helps normalize the learning process.

Practical Over Perfect

We'd rather you finish with skills you'll actually use than dazzle you with advanced theory you'll forget. The goal is competence and confidence, not collecting certifications you'll never reference again.

Example: How This Works In Practice

Last year, one participant was struggling with cash flow forecasting. Instead of just reviewing the theory again, Victor sat down with her and they worked through her company's actual numbers together. Turned out she was making a common mistake about timing—something that's hard to spot in hypothetical examples.

That session turned into a group discussion about similar pitfalls, which led to adding a whole module on timing issues in financial analysis. That's the kind of responsive teaching we aim for.

Learning environment

Program Details for September 2025

We're keeping the cohort small—around 15 participants—so everyone gets adequate attention. Classes run Tuesday and Thursday evenings from 6:30 to 8:30 PM, with optional Saturday workshops once a month.

This isn't a fast-track program. If you're looking for a weekend crash course, this won't be the right fit.

  • 24 evening sessions over six months (September 2025 - February 2026)
  • Six optional weekend workshops for deeper dives into specific topics
  • Access to our collection of financial modeling templates and case studies
  • Small group sessions (3-4 people) for project feedback
  • Certificate of completion if you finish all modules and projects
Ask About September Enrollment