Financial Modeling with Python is a comprehensive course designed to equip participants with the essential skills to create robust financial models using Python programming. Participants will delve into core financial concepts and learn how to implement them through practical coding exercises, enabling them to analyze and forecast financial performance effectively. The course emphasizes hands-on projects that culminate in a final project, allowing learners to apply their knowledge in real-world scenarios.
Throughout the course, attendees will engage with a variety of financial modeling techniques, including valuation methods, risk analysis, and investment appraisal. By the end of the program, participants will not only have developed a strong foundation in financial modeling but also the ability to publish their findings in Cademix Magazine, showcasing their expertise to a wider audience. This interactive approach fosters collaboration and enhances learning outcomes, preparing individuals for careers in finance, investment, and real estate.
Syllabus:
Introduction to Financial Modeling and Python Basics
Setting Up Python Environment for Financial Analysis
Data Manipulation with Pandas for Financial Data
Time Value of Money and Present Value Calculations
Building Financial Statements: Income Statement, Balance Sheet, Cash Flow
Valuation Techniques: DCF, Comparable Companies, Precedent Transactions
Scenario and Sensitivity Analysis in Financial Models
Risk Assessment and Monte Carlo Simulations
Portfolio Optimization Techniques using Python
Final Project: Developing a Comprehensive Financial Model for a Real-World Case Study