Introduction to Quantitative Finance with Python

Modern financial markets rely heavily on quantitative models to assess risk, price complex assets, and optimize investment portfolios. If you want to understand how mathematical theories translate into real-world trading and risk strategies, this course provides a clear, structured path. You will start with the fundamental definitions of asset classes, time value of money, and basic statistics before moving on to practical computational models. By reading through our structured explanations and reviewing clear code examples, you will bridge the gap between abstract mathematical formulas and practical financial analysis. We focus on modern implementations, introducing you to essential tools like Python's data analysis libraries and vector-based calculations to automate portfolio optimization. What you'll learn: - Understand the foundational mathematics of interest rates, cash flows, and asset pricing - Apply the Black-Scholes-Merton model to value financial derivatives and options - Implement Modern Portfolio Theory to optimize risk-adjusted investment returns - Analyze market risk using Value at Risk (VaR) and Expected Shortfall metrics - Practice writing clean Python code to model asset price paths using stochastic calculus - Configure simulations to stress-test financial strategies under volatile market conditions This course begins with core definitions of financial instruments and probability concepts, ensuring you build a solid theoretical foundation. From there, you will explore risk-neutral pricing, portfolio optimization algorithms, and modern computational techniques used by quantitative analysts. This course is designed for beginners, aspiring quantitative analysts, finance students, and software engineers looking to enter the financial technology space. No prior background in advanced finance or quantitative modeling is required, though a basic familiarity with algebra and general programming concepts will help you get the most out of the material. Start reading today to master the mathematical and computational foundations of quantitative finance.