Financial Analysis Training Built for Real Work
Most people know spreadsheets. But there's a gap between basic formulas and actually making sense of financial data in a business context.
We started this program in 2021 because professionals kept asking us how to bridge that gap. Not theory. Practical skills that work when you're staring at messy datasets and tight deadlines.
Our approach focuses on Taiwan's financial landscape—regulations, reporting standards, and industry practices that matter here.
View September 2025 Schedule
How the Program Actually Works
We've run this twelve times now. Each cohort starts in September or March, runs for six months, and meets twice weekly in the evenings.
You'll work with real anonymized datasets from Taiwan companies. Balance sheets that don't balance. Cash flow statements with missing months. The messy stuff.
Foundation Phase (Weeks 1-8)
You'll rebuild your understanding of financial statements from scratch. We assume you've seen these before, but we go deeper into the relationships between items.
By week four, you're already working with Taiwan GAAP examples. Week six introduces basic ratio analysis. Week eight covers cash flow reconstruction—turns out that's where most errors hide.
Tools and Techniques (Weeks 9-16)
This is where we introduce our software. Not as a magic solution, but as a tool that speeds up repetitive work so you can focus on analysis.
You'll learn data cleaning, validation checks, and building models that don't break when someone enters text in a number field. Because that happens more than anyone admits.
Industry Applications (Weeks 17-24)
Each week focuses on a different sector. Manufacturing has inventory issues. Tech companies have revenue recognition puzzles. Retail deals with seasonal patterns.
Guest speakers from these industries show up and talk about what actually matters in their financial reporting. Sometimes their priorities surprise people.
Who Teaches This
We keep instructor groups small. Two people handle each cohort. They've both worked in financial analysis roles and know what it's like when quarterly reports are due.
Oskar Lindqvist
Spent eleven years doing financial analysis for manufacturing companies in northern Taiwan. Moved into training after realizing he explained the same concepts to new hires every quarter. Prefers working with real data over hypothetical examples.
Daniil Sokolov
Worked as a financial controller before switching to software implementation. Joined us in 2023 to handle the technical side of the program. Good at explaining why software sometimes gives unexpected results—and how to fix them.
What People End Up Being Able to Do
We don't promise job placements or salary increases. But past participants report these as the most useful skills they gained. Results vary based on your background and how much time you put in.
Spot Data Problems Early
You develop an eye for inconsistencies. When numbers don't quite add up or trends look off, you'll know where to look first. Saves hours of confused digging later.
Build Reliable Models
Create financial models that other people can actually use and update. Clear structure, documented assumptions, proper error checking. The kind that doesn't break six months later.
Communicate Findings
Turn analysis into reports that make sense to non-financial managers. Use appropriate charts, highlight what matters, skip the jargon. More useful than perfect calculations no one understands.
Handle Taiwan Reporting
Navigate local requirements without constant handbook checking. Know which ratios regulators care about, what industry benchmarks look reasonable, when to flag unusual patterns.
Work Efficiently
Use software tools to automate repetitive tasks. Spend less time on data entry, more on actual analysis. Build templates that speed up monthly processes without sacrificing accuracy.
Understand Context
See beyond the numbers to what they mean for the business. Connect financial metrics to operational decisions. Ask better questions when something looks unusual.