Python for Finance: Investment Fundamentals & Data Analytics

Step into the world of finance with Python as your primary tool. This course starts with a thorough introduction to Python, covering essential programming concepts like variables, loops, and functions. You'll become proficient in handling data types, creating iterations, and applying Python's syntax to real-world problems. With hands-on experience in Jupyter notebooks, you'll quickly grasp the fundamentals needed for financial applications. The second phase dives deep into financial analysis, leveraging Python to calculate returns, measure risk, and run complex models like Markowitz portfolio optimization. You'll learn how to use regression analysis to interpret market trends and make data-backed investment decisions. By integrating Python's advanced tools, you can analyze large datasets with precision, allowing for more accurate forecasts and financial assessments. As the course progresses, you'll explore sophisticated techniques like the Capital Asset Pricing Model (CAPM) and Monte Carlo simulations. These powerful tools will equip you to evaluate investment opportunities and optimize decision-making. By the end, you'll not only understand finance but also be able to programmatically implement financial strategies using Python. This course is designed for finance professionals, data analysts, and students with a fundamental understanding of mathematics. Familiarity with basic finance concepts is recommended, but no prior programming experience is required.