Finance professionals and business valuation specialists are increasingly asked to do more with less, especially when it comes to data. Programming with Python can bridge that gap.  Join Tomas Milo (Director, Sigma Optimized) as he starts with the basics of Python so beginners can follow along. Then, he’ll show you step-by-step how to download and process public SEC data.  By the end of this session, you’ll have practical tools to improve your workflows and make sense of financial data using Python. Plus, you’ll walk away with a hands-on guide to use Python for other tasks as well.

Program Agenda:

• Introduction to Python fundamentals, including data manipulation
• XBRL overview
• Downloading SEC Datasets
• Processing and analyzing XBRL data

Learning Objectives:

• Understand the basics of Python and its applications in financial data analysis.
• Learn how to download and process SEC XBRL datasets using Python.
• Develop skills in data processing and manipulation to analyze financial data effectively.
• Learn to apply Python independently for other financial analysis tasks.

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