Resources That Actually Help You Model Better

We've spent years figuring out what works when teaching scenario modeling. Not just theory — practical stuff you can start using next week in your financial planning work.

240+ Resources Updated quarterly
Real Examples From actual projects
Always Accessible Download anytime

What's Inside the Library

Everything's organized by what you need to learn, not by format. Templates when you need them, explanations when concepts get tricky, and real cases when you want to see how it all fits together.

Model Templates

Pre-built spreadsheet structures you can adapt for cash flow forecasting, sensitivity analysis, and multi-scenario comparisons. Each template includes notes explaining the logic.

45 templates Excel & Google Sheets

Concept Guides

When Monte Carlo simulations or probability weighting start feeling abstract, these guides walk through the ideas using straightforward language and practical examples from Vietnamese markets.

68 guides PDF & interactive

Case Studies

See how other professionals approached modeling challenges — retail expansion decisions, manufacturing cost scenarios, service business pivots. Names changed, lessons intact.

34 cases All formats

Quick Reference Sheets

One-pagers for when you need a formula reminder or want to check your assumption structure. Print them out or keep them on your second monitor while you work.

52 sheets Print-friendly

Updated With Real Feedback

These materials change based on what students actually struggle with. After every cohort, we revise sections that caused confusion and add examples for scenarios that came up in projects.

  • New content added based on recent student questions
  • Templates improved after watching people use them
  • Case studies expanded when topics need more context
  • Explanations simplified when the first version wasn't clear enough
Study materials being reviewed and updated based on student feedback

How the Materials Follow Your Progress

Resources are grouped by learning stage. You don't need everything at once — just what makes sense for where you are right now in understanding scenario modeling.

1

Getting Started Foundation

Weeks 1-4

Begin with basic probability concepts and simple two-scenario models. The materials here focus on building intuition before adding complexity. Think "good case vs. tough case" before diving into distributions.

Basic modeling logic Excel fundamentals Assumption setting Simple scenarios
2

Building Complexity Layer

Weeks 5-10

Add more scenarios and start working with probability weightings. Materials here include templates for sensitivity tables and guides on when to add versus remove variables from your models.

Multi-scenario modeling Probability weighting Sensitivity analysis Variable selection
3

Advanced Techniques Phase

Weeks 11-16

Now you're working with Monte Carlo simulations and correlation structures. Resources shift to handling computational challenges and interpreting results that aren't immediately obvious.

Monte Carlo methods Correlation modeling Result interpretation Model validation
4

Real Application Practice

Weeks 17-24

Work through full case studies and adapt materials to your actual work scenarios. The focus shifts from learning techniques to choosing the right approach for specific business decisions you're facing.

Case study work Custom applications Model presentation Decision support
Callum Hendricks, senior financial modeling instructor

Callum Hendricks

Lead Modeling Instructor

Former risk analyst who got tired of watching people make decisions based on single-point forecasts. Now teaches probability-based planning to finance professionals across Vietnam.

Petra Lindqvist, scenario modeling specialist

Petra Lindqvist

Advanced Methods Specialist

Built scenario models for manufacturing companies for eight years before moving into teaching. Focuses on making complex statistical concepts feel less intimidating.

Teaching Approach We Use

Start With Why Before How

Every technique gets explained in terms of the business decision it helps with first. Monte Carlo simulations aren't interesting because they're mathematically elegant — they're useful because they let you see the full range of possible outcomes instead of guessing at one.

Decision-focused explanations Business context first Math as support tool

Work Through Mistakes Together

Most learning happens when models break or give weird results. We deliberately include examples where assumptions were wrong, correlations were missed, or interpretations led someone astray — then walk through fixing them.

Common error patterns Debugging techniques Assumption testing

Adapt to Individual Pace

Some people grasp probability weighting immediately while struggling with sensitivity analysis. Others find sensitivities intuitive but get stuck on distributions. Materials are structured so you can spend more time where you need it.

Self-paced modules Multiple explanation styles Practice problem variety
Instructor working one-on-one with student on scenario modeling concepts

What Students Have Accomplished

These numbers represent real progress people made after working through the materials and applying the concepts to their actual work. Not guarantees — just what happened when people put in consistent effort.

847 Students Completed
4.7 Average Material Rating
92% Found Immediately Useful
3,200+ Downloads This Year

Recognition & Student Outcomes

Vietnam Finance Education Award

Recognized for practical curriculum design that bridges academic concepts with actual business application in Vietnamese markets.

March 2025

Student Project Success

Over 200 students successfully implemented scenario models in their workplaces after completing the program, with documented improvements in planning processes.

2024-2025 cohorts

Industry Partnership Program

Collaboration with six major Vietnamese financial institutions to ensure materials reflect current industry practices and emerging modeling needs.

Ongoing since 2024

Material Development Recognition

Case studies and templates cited in regional finance publications as examples of accessible approach to complex modeling concepts.

January 2025