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 ...

Python has made using Microsoft Excel much easier than it has ever been, and it isn't very hard to start using it yourself.

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 ...

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...

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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 ...

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 ...

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 ...

If you’re wrangling financial data, the choice between PDF and CSV formats can seriously impact your workflow. PDFs look sharp and preserve layouts, but they tr ...