Python for Financial Analysis: SEC Data and APIs

Financial analysts and investors must process vast amounts of data to make informed decisions, but manual tracking is slow and error-prone. Python offers a powerful, automated way to gather, clean, and analyze financial data with speed and precision. This text-based course guides you from Python beginner to confident financial data practitioner. You will start with foundational programming concepts and quickly progress to working with live financial APIs, parsing SEC filings, and calculating critical financial metrics. What you'll learn: - Understand core Python concepts, data structures, and clean coding practices using virtual environments. - Retrieve real-time and historical economic data using professional financial APIs. - Extract and parse company financial statements directly from official SEC filings. - Calculate key financial ratios to evaluate company performance, liquidity, and profitability. - Manipulate financial datasets efficiently using modern data analysis libraries. - Build automated scripts to streamline data collection and financial reporting workflows. The course starts with essential financial terminology and basic Python setup, ensuring a solid foundation before moving into hands-on data retrieval, API integration, and statement analysis. Each section features written explanations and code snippets to reinforce your learning. This course is designed for finance professionals, students, and investors who are new to programming and want to automate their financial analysis workflows. No prior coding experience is required. Start reading today to unlock the power of programming in your financial analysis.