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Dev-Glow
Financial clarity through powerful analysis software

Financial Analysis Skills That Actually Matter

Working with spreadsheets and forecasting models is one thing. Understanding what the numbers mean for real business decisions? That's where most people get stuck. Our autumn 2025 program focuses on practical financial analysis that connects to actual business outcomes.

Talk About Your Goals

Learn From People Who've Been There

Our instructors have spent years working through the messy reality of financial analysis. They've built models that failed, learned from those mistakes, and developed approaches that work when things get complicated.

Instructor Marcus Chen teaching financial modeling techniques

Marcus Chen

Corporate Finance Lead

Spent 12 years building financial models for mid-sized companies in Thailand. Knows exactly where theory breaks down and practical problem-solving begins.

Forecasting Budget Analysis Risk Assessment
Instructor Robert Walsh explaining investment analysis concepts

Robert Walsh

Investment Analysis

Former analyst who transitioned into teaching because he got tired of seeing people make the same preventable mistakes with financial data interpretation.

Cash Flow Valuation Data Quality
Instructor Daniel Kramer reviewing financial statements with students

Daniel Kramer

Strategic Planning

Worked through three economic downturns helping companies adapt their financial strategies. Teaches the kind of analysis that holds up when conditions change.

Scenario Planning Cost Control Performance Metrics

Numbers That Show Progress

After completing the program, participants often report feeling more confident working with complex financial data. Not because they memorized formulas, but because they practiced applying analysis to situations similar to what they face at work.

The 2024 cohort spent an average of 18 hours per week on coursework over six months. Most participants needed about three months before they felt comfortable applying techniques independently.

Financial analysis workspace showing real-world application of software tools
24 Weeks
Program Duration
120+ Hours
Hands-On Practice
15 Students
Maximum Group Size
8 Projects
Real Case Studies

How The Learning Actually Works

We don't lecture about theory and then expect you to figure out application on your own. Each concept gets introduced through a real business problem you'll work through step by step.

Start September 2025

The next cohort begins September 8th and runs through February 2026. Classes meet Tuesday and Thursday evenings, with project work on weekends.

Ask About Enrollment
1

Foundation Work With Context

First month covers core financial statement analysis, but through the lens of actual company scenarios. You'll work with messy data from real businesses, learning to identify what matters and what's just noise.

  • Income statement deep dive using three real company examples
  • Balance sheet interpretation with industry comparison
  • Cash flow tracking through seasonal business cycles
2

Building Useful Models

Months two and three focus on creating financial models that serve specific business decisions. Not theoretical exercises, but tools you'd actually use in a planning meeting.

  • Forecasting revenue for expansion planning
  • Cost structure analysis for pricing decisions
  • Scenario modeling when multiple unknowns exist
3

Advanced Analysis Techniques

Second half of the program introduces more sophisticated approaches. By this point you have enough foundation to understand when and why to use complex methods.

  • Variance analysis for budget monitoring
  • Investment evaluation using multiple criteria
  • Risk quantification for strategic planning
4

Capstone Project With Feedback

Final month involves completing a comprehensive analysis project. You'll present findings and defend your recommendations, getting detailed feedback from instructors who know what works in practice.

  • Choose a real company or create a detailed scenario
  • Apply multiple analysis frameworks to the situation
  • Present recommendations with supporting evidence