Master Financial Data Analysis

Step-by-step guides designed for Philippine market dynamics. From beginner-friendly tutorials to advanced analytical techniques that actually work in local financial environments.

45+
Practical Guides
12
Skill Levels
850
Students Helped

Essential Data Analysis Guides

Each guide includes real Philippine market examples, downloadable datasets, and practical exercises you can complete at your own pace.

Beginner

Philippine Stock Market Data Cleaning Fundamentals

Learn how to clean and prepare PSE stock data for analysis. We'll walk through common data quality issues you'll encounter with local trading data and show you exactly how to handle missing values, outliers, and inconsistent formatting.

2-3 hours Basic Excel + Python
Intermediate

Building Risk Assessment Models for Local Banking

Create practical risk models using actual Philippine banking sector data. This guide covers credit risk calculations, regulatory compliance requirements specific to BSP guidelines, and how to build dashboards that bank executives actually use.

4-5 hours SQL + Statistics

Maria Santos-Chen

Senior Financial Data Analyst

  • 8+ years Philippine markets
  • Former BDO risk analyst
  • CFA charter holder
  • Python & R specialist

Real Talk About Financial Analysis in the Philippines

After working with Philippine financial data for nearly a decade, I've learned that textbook theories often break down when you're dealing with our unique market conditions. The PSE has quirks that won't show up in international case studies, and local banking regulations create data challenges you simply won't find in Western tutorials.

That's exactly why we built these guides. Instead of generic examples using S&P 500 data, you'll work with actual PSE listings, real BPI quarterly reports, and datasets that reflect the political and economic realities that shape our markets.

"The biggest mistake I see new analysts make is trying to apply Silicon Valley methodologies directly to Philippine data. It's like using a hammer when you need a scalpel."

Each guide in this collection addresses specific challenges I've encountered in my career – from handling incomplete corporate disclosures to building models that account for peso volatility. We don't just teach the theory; we show you how to navigate the messy, incomplete data that defines real-world financial analysis here.

Local Data Sources

Every example uses Philippine market data, regulatory filings, and real company information you'll encounter professionally.

Practical Application

Skip the academic fluff. These guides focus on techniques you'll actually use in Philippine corporate finance roles.

Career Advancement

Build a portfolio of analysis projects that demonstrate your understanding of local market dynamics.

Ongoing Updates

As BSP regulations evolve and new data sources emerge, we update our content to keep pace with industry changes.