Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Learn about our ...

The Coding for Risk Management Seminar workshops get you started in Excel, VBA, R, Python, SQL, and GitHub. The first step in all of these languages is a big step; after taking it here, you will be ...

DuckDB is an amazing tool with deep integration with Python and R, but sometimes you just need data in Excel. xlDuckDb allows DuckDB SQL to be run within Excel. Query results are returned as regular ...

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 ...

pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

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