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Industry-Aligned Curriculum
Developed in consultation with data analysts from major Philippine financial institutions including BDO, Metrobank, and Security Bank. Course content reflects actual job requirements and current analytical methods.
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Professional Software Training
Hands-on experience with tools actually used in Philippine financial companies: Excel with Power Query, R for statistical analysis, and SQL for database management. All software training uses real financial datasets.
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Case Study Methodology
Work with actual financial data from Philippine companies (anonymized for privacy). Projects include analyzing stock performance of PSEi companies and creating risk assessment models for local market conditions.
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Mentorship Network
Connect with experienced analysts working in Manila's financial district. Monthly networking sessions and one-on-one guidance help students understand career progression and industry expectations.
Master Financial Data Analysis
Build expertise in statistical methods, market research, and data visualization through hands-on projects and real-world applications
Program Structure Overview
Foundation Phase
Months 1-4: Essential concepts and basic analytical techniques
- Statistical fundamentals and probability theory
- Excel advanced functions and pivot tables
- Data cleaning and preparation methods
- Basic financial statement analysis
- Introduction to regression analysis
- Creating professional reports and presentations
Advanced Applications
Months 5-8: Specialized tools and complex analysis methods
- R programming for statistical analysis
- Time series analysis and forecasting
- Risk assessment and portfolio analysis
- Database management and SQL queries
- Monte Carlo simulation techniques
- Interactive dashboard development
Professional Projects
Months 9-12: Real-world case studies and portfolio development
- Market research project with actual companies
- Credit risk analysis case study
- Investment performance evaluation
- Regulatory compliance reporting
- Client presentation and communication skills
- Professional portfolio and certification preparation
Detailed Learning Path
Each module builds upon previous knowledge while introducing practical applications that you'll encounter in professional environments. Our approach emphasizes understanding the reasoning behind analytical methods, not just memorizing procedures.
Statistical Foundation & Excel Mastery
Begin with core statistical concepts including descriptive statistics, probability distributions, and hypothesis testing. Master Excel's advanced features for data analysis.
- Descriptive and inferential statistics
- Excel VLOOKUP, INDEX-MATCH, array formulas
- Data validation and error checking
- Creating dynamic charts and graphs
Financial Analysis Techniques
Learn to analyze financial statements, calculate key ratios, and interpret company performance metrics. Focus on practical applications used by financial analysts.
- Balance sheet and income statement analysis
- Liquidity, profitability, and leverage ratios
- Cash flow statement interpretation
- Industry comparison and benchmarking
Programming & Database Skills
Develop programming skills in R for statistical analysis and learn database management. These tools are essential for handling large datasets in modern finance.
- R programming basics and data manipulation
- SQL queries and database design
- Data visualization with ggplot2
- Automated report generation
Advanced Analytics & Portfolio
Apply advanced techniques like Monte Carlo simulations and time series analysis. Complete capstone projects that demonstrate your analytical capabilities.
- Monte Carlo risk simulations
- Time series forecasting models
- Portfolio optimization techniques
- Professional presentation skills
Program Recognition & Outcomes
Our curriculum reflects current industry standards and incorporates feedback from financial professionals. Students develop practical skills that translate directly to workplace applications.
Marissa Delgado
Lead Instructor
Former senior analyst at Ayala Corporation with 12 years of experience in financial modeling and risk assessment. Marissa specializes in Philippine market analysis and has trained over 200 professionals in advanced Excel and statistical methods.
She holds a CFA designation and regularly speaks at Philippine finance conferences about data-driven decision making in emerging markets.
Ready to Begin Your Data Analysis Journey?
Our next cohort begins September 2025. Classes are limited to 25 students to ensure personalized attention and meaningful project collaboration.