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

Learn how to calculate and display variance inside Excel pivot tables. Perfect for financial analysis, reporting, and data ...

Learn how to use Excel Power Query's extract and split column features to extract delimited strings into their components with this step-by-step tutorial. Microsoft Excel produces great charts, but ...

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...

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 ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...

This repository showcases projects and examples that demonstrate skills in data manipulation, pivot tables, and data-driven decision-making using Microsoft Excel. It includes hands-on projects ...

This project explores the data science job market, revealing correlations between skills, job roles, regions, and salaries. Leveraging Excel’s Power Query, PivotTables, DAX, and charts, it highlights ...

Q. You explained Excel’s Scenario Manager in your November 2024 Tech Q&A article and Goal Seek in your December 2024 Tech Q&A article. Can you please explain the final What-If Analysis tool: Data ...

Q. In your November Tech Q&A article on Excel’s Scenario Manager, you mentioned two other “what-if” tools: Goal Seek and Data Table. Can you show how those work like you did with Scenario Manager?