Financial Analysis That Actually Makes Sense
We built this program because most financial education feels disconnected from what you'll actually face. Learn advanced analysis techniques through real-world scenarios from our Taiwan operations and international partnerships.
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Three Ways to Learn With Us
You need flexibility. Maybe you're working full-time or managing a business. We get it.
Weekend Intensive Track
Twelve weekends starting October 2025. Saturdays and Sundays, 9am to 4pm. Ideal if you're keeping your current role while building new capabilities.
Evening Session Path
Three evenings weekly from September 2025. Tuesdays, Thursdays, and Saturdays 6:30pm to 9:30pm. Spread the learning over five months with more breathing room.
Self-Paced Online Format
Start anytime in 2025. Access lectures, exercises, and mentor support on your schedule. Takes most people 6-9 months to complete all modules and projects.
Who You'll Learn From
Our teaching team works in the field. They're analyzing deals, advising companies, and handling the messy reality of financial decision-making.

Darren Kowalski
Senior Financial Analyst
Spent 11 years in corporate finance before teaching. Brings actual case files from manufacturing and tech sectors.

Marissa Holden
Investment Research Lead
Manages analysis for mid-market equity investments. Teaches valuation and risk assessment modules.

Travis Mendoza
Data Analytics Director
Builds financial models for cross-border transactions. Handles the technical deep-dives and Excel workshops.

Glen Patterson
Strategic Finance Advisor
Works with startups and growth companies on financial planning. Leads sessions on forecasting and scenario analysis.
What You'll Actually Work On
Every module includes projects based on situations our team has encountered. You're not doing theoretical exercises.

Manufacturing Expansion Analysis
A component manufacturer in Taichung wanted to add a second production line. You'll work through the actual financial data, build cash flow projections, and assess whether the numbers supported the expansion.
Built three-statement model with sensitivity analysis
Evaluated break-even scenarios under different demand assumptions
Presented findings to mock board using their constraints