Python is invaluable behind the scenes of the financial services sector, although its role is rarely recognized. Its simplicity, versatility, and rich ecosystem make it indispensable for managing ...

This concentration introduces students to the use of financial analytics used by finance practitioners. It provides a strong and rigorous introduction to the use of financial applications in fintech ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

What it takes to become a financial data scientist and why financial institutions are recruiting candidates quickly. By Vivian Zhang, founder and CTO of NYC Data Science Academy and adjunct professor ...

The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...