Python For Finance

Python for Finance using:

• Pandas: A powerful library for data manipulation and analysis, particularly useful for handling financial data.
• NumPy: Provides support for arrays and numerical operations, essential for quantitative finance calculations.
• Quantitative Libraries: Various libraries like QuantLib and pyfolio offer tools for quantitative analysis, risk management, and portfolio optimization.

Duration: Four (4) Months

Classes are LIVE SESSIONS with a Tutor assigned to monitor your progress and ensure consistency.