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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鈥檒l become proficient in handling data types, creating iterations, and applying Python鈥檚 syntax to real-world problems. With hands-on experience in Jupyter notebooks, you鈥檒l 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鈥檒l 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鈥檒l 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鈥檒l 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 foundational understanding of mathematics. Familiarity with basic finance concepts is recommended, but no prior programming experience is required.