What you'll learn
What quantitative finance means and how Python is used to analyze financial markets.
How to understand stock price data, returns, and basic financial time series.
How to calculate simple risk and return metrics such as daily returns, cumulative returns, volatility, and drawdown.
How to turn market data into charts and practical insights using a beginner-friendly Python workflow.
Why you should attend
Join this free live session to get a practical first look at quantitative finance using Python. You will learn how financial data can be analyzed step by step, how risk and return are measured, and how Python can help turn market data into clear insights. This session is beginner-friendly and designed for learners interested in finance, investing, data analysis, or Python.
Educational only — not financial advice.
More about hosts & guests
El-Moatasem Madani is Expert Software Engineer and AI Engineer with more than 13 years of experience building technology products across fintech, e-commerce, mobile applications, and AI systems. He has strong experience in Python, iOS, Ruby on Rails, data analysis, and AI/ML applications.
He is currently pursuing a master's degree in Financial Engineering, where he focuses on quantitative finance, risk management, machine learning in finance, and investment strategies.
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