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

Learn how to customize Copilot in Excel to automatically apply your preferred date formats, table styles, and modern formulas ...

The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for ...

Microsoft added reusable Skills, new financial data connectors, and traceability features to Copilot in Excel, built specifically for finance teams.

Discover how to replace traditional Excel chart objects with clean, customizable in-cell visualizations using a single ...

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

Explore the salary comparison between Data Analysts and Data Scientists in Gurgaon in 2026. Learn about pay scales, career ...

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

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 ...

tcapy is a Python library for doing transaction cost analysis (TCA), essentially finding the cost of your trading activity. Across the industry many financial firms and corporates trading within ...

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 ...