Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object Model. This session will feature practical demonstrations, code examples, ...

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 ...

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 ...

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

How scenario analysis tools can help investors manage financial risk and evaluate returns. Forecasting is a no-win situation. If you get it right, people go about their business. But if it’s wrong, ...

What is financial analysis software? Nowadays, financial advisors and RIAs rely heavily on technology to manage data and support smarter client decisions. As regulations become stricter, financial ...