Financial Data Analytics Learning Path

Your comprehensive guide to mastering financial data analysis, from fundamentals to advanced techniques. This path includes curated playlists, courses, and resources for financial modeling, risk analysis, and data visualization.

Financial Fundamentals

MIT Financial Mathematics (Video Playlist)

This MIT OpenCourseWare series covers essential financial concepts:

  • Time value of money and interest rates
  • Fixed income securities and derivatives
  • Portfolio theory and risk management
  • Financial statement analysis
Financial Markets by Yale University (Course)

This Yale course provides foundational knowledge in:

  • Behavioral finance principles
  • Risk management techniques
  • Market efficiency and valuation

Data Analysis & Visualization

Python for Financial Analysis (Video Playlist)

Learn Python applications in finance:

  • Pandas for financial data manipulation
  • NumPy for quantitative analysis
  • Matplotlib/Seaborn for financial visualization
  • Time series analysis techniques
Data Science for Finance (Course)

Practical applications of data science in finance:

  • Algorithmic trading strategies
  • Risk modeling with Python
  • Portfolio optimization techniques

Financial Modeling & Valuation

Financial Modeling Specialization (Course)

Comprehensive modeling training:

  • DCF and comparable company analysis
  • M&A and LBO modeling
  • Sensitivity analysis and scenario planning
Advanced Financial Modeling (Video Playlist)

Advanced techniques for professionals:

  • Three-statement financial models
  • Merger consequences analysis
  • Real options valuation

Risk Analytics & Management

Risk Management in Banking (Course)

Comprehensive risk analysis training:

  • Credit risk modeling
  • Market risk measurement (VaR)
  • Basel regulations framework
Financial Risk Analytics with Python (Video Playlist)

Practical risk analysis implementations:

  • Monte Carlo simulations
  • Stress testing frameworks
  • Fraud detection models

Financial BI & Dashboards

Power BI for Financial Analysis (Course)

Creating professional financial dashboards:

  • Financial KPI visualization
  • DAX for financial metrics
  • Interactive reporting techniques
Tableau for Finance Professionals (Video Playlist)

Advanced financial data visualization:

  • Portfolio performance dashboards
  • Risk exposure heatmaps
  • Financial storytelling techniques

Advanced Financial Analytics

Machine Learning for Finance (Course)

Cutting-edge applications in finance:

  • Algorithmic trading models
  • Credit scoring with ML
  • Anomaly detection in transactions
Quantitative Finance with Python (Video Playlist)

Mathematical finance implementations:

  • Options pricing models
  • Stochastic processes in finance
  • Fixed income analytics

Essential Financial Resources

Reference materials to deepen your financial analytics knowledge:

Financial Modeling

Data Analysis

Financial Markets

Risk Management