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 ...

Python, a versatile and user-friendly programming language, has gained immense popularity for its simplicity and power. Its extensive libraries and frameworks have paved the way for innovative ...

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 ...

Creating a Model Context Protocol (MCP) server for stock trading agents can significantly improve your workflow by streamlining data retrieval, automating financial analysis, and integrating reusable ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...

In today's dynamic business landscape, effective financial planning and analysis (FP&A) has become an indispensable function for organizations seeking to thrive amid uncertainty and complexity. FP&A ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...