If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Microsoft's latest additions to Excel will likely please many looking to automate their data crunching processes.

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

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 ...

There was an error while loading. Please reload this page. This Python script uses the tabula-py and pandas libraries to convert a PDF file into an Excel file. Each ...

A new COPILOT function in Excel lets you use AI in a formula. The new skill is now available to Microsoft 365 insiders. Reduces some of the complexity involved in creating formulas. Get more in-depth ...

Microsoft has announced that it will start disabling external workbook links to blocked file types by default between October 2025 and July 2026. After the rollout ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...