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ListOnPagely

Real Analysis Work from Our Students

Over the past three years, we've watched beginners transform raw data into business insights. These aren't polished agency deliverables. They're authentic learning projects that show actual progression from spreadsheet confusion to confident financial modeling.

Each project below represents 8-12 weeks of guided practice. Students worked through messy datasets, made mistakes, iterated their approaches, and ultimately built analysis frameworks they now use in their careers.

142 Projects completed since 2023
89% Students who apply skills within 6 months
28 Average hours per project cycle

What Students Actually Build

01

Cash Flow Analysis Dashboard

Jirat spent 11 weeks building a monthly cash flow tracker for a family restaurant. Started with basic income-expense tracking, then added seasonal trend analysis. His dashboard now helps the business anticipate slow months three quarters ahead.

Excel + Power Query 8 data sources March 2025
02

Investment Portfolio Tracker

Somchai built a personal investment monitoring system that pulls data from three Thai brokerages. Took him two attempts to get the data integration right. Now tracks asset allocation, calculates actual returns including fees, and flags rebalancing opportunities.

Google Sheets API Real-time updates January 2025
03

Break-Even Analysis Tool

Niran created a scenario planning tool for a small manufacturing operation. Built multiple cost models, added sensitivity analysis for material price fluctuations. The business owner now uses it weekly to evaluate new product lines before committing resources.

Financial modeling 5 scenarios tested February 2025
Student working on financial analysis project at desk with laptop and notebooks
Average Completion Rate
87%

How Projects Actually Unfold

Most students follow a similar path, though timing varies. Here's the typical journey from initial concept to working analysis tool.

W1-2

Problem Definition and Data Collection

Students identify a real financial question they want to answer. Could be personal finance tracking, small business analysis, or investment monitoring. They gather existing data, assess quality, and document gaps. This phase involves a lot of spreadsheet cleanup.

Clear research question 3-5 data sources identified Data structure mapped
W3-6

Initial Analysis and Model Building

The messy middle. Students build their first version, realize it doesn't work as planned, then rebuild. They learn to structure calculations, handle missing data, and create meaningful comparisons. Expect at least one major pivot during this phase.

Working prototype 2-3 iterations completed Core calculations validated
W7-9

Visualization and Interpretation

Numbers become insights. Students create charts that actually communicate findings, write clear explanations, and test their analysis with real users. They learn what works in practice versus what looked good in theory.

5-8 visualizations User feedback incorporated Presentation ready
W10-12

Documentation and Handoff

Final weeks focus on making the project usable by others. Students write setup guides, document assumptions, and create maintenance instructions. Many realize this is harder than building the analysis itself.

Complete documentation Reproducible process Portfolio piece ready
Thanapon Wijittra, Financial Analysis Instructor

Thanapon Wijittra

Project Mentor

67 Projects guided since 2023
9 yrs Financial analysis experience

The Guidance Behind Each Project

I spend most of my time helping students recover from their first failed attempt. That's not a flaw in the process. It's the process. You can't learn financial analysis without building something that doesn't quite work, then figuring out why.

My background is corporate finance at a mid-size Thai conglomerate. Spent years building models that executives actually used for decisions. Now I help students develop that same practical skill set, but without the pressure of quarterly reporting deadlines.

The projects you see here weren't assigned from a textbook. Students brought real problems they wanted to solve. My job was asking questions that pushed them toward robust solutions and catching the subtle errors that would have undermined their conclusions.

Financial Modeling

Building flexible models that handle real-world messiness while maintaining calculation integrity.

Data Validation

Teaching students to spot data quality issues before they corrupt entire analyses.

Business Context

Connecting technical analysis to actual business decisions and stakeholder needs.

Practical Tools

Excel, Google Sheets, and basic automation that works in typical business environments.

Start Your Own Analysis Project

The next cohort begins September 2025. We work with 12-15 students per cycle to maintain quality feedback. If you have a financial question you want to answer and 10-12 hours per week to commit, this might work for you.

Discuss Your Project Idea