Python for Finance: Investment Fundamentals & Data Analytics

This comprehensive course bridges the gap between traditional finance and modern data science by teaching Python programming from the ground up specifically for financial applications. Designed by 365 Careers, the curriculum enables investment analysts, portfolio managers, and aspiring fintech professionals to leverage Python's powerful ecosystem for quantitative analysis. Students begin by mastering Python fundamentals, including data structures, loops, and functions, before quickly transitioning to industry-standard libraries like NumPy, Pandas, and Matplotlib. The program dives deep into real-world financial theories, demonstrating how to programmatically calculate asset risk and return, optimize investment portfolios, and evaluate securities using the Sharpe ratio. Learners also explore advanced financial modeling techniques, such as univariate and multivariate regression analyses, the Capital Asset Pricing Model (CAPM), Monte Carlo simulations, and option pricing via the Black-Scholes formula. By working through these practical, hands-on case studies, participants acquire both the technical coding capabilities and the sharp financial acumen necessary to automate complex workflows, visualize trends, and make data-driven investment decisions in today's highly competitive global financial sector.