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Linkedin - Python in Excel Working with pandas DataFrames

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Category: Other
Total size: 336.53 MB
Added: 2025-03-10 23:38:57

Share ratio: 28 seeders, 2 leechers
Info Hash: 88BF5809741477C1C39C3A9EE7B1CCFE2428D51C
Last updated: 11.1 hours ago

Description:

Course details Python and Excel are both some of the most popular “programming languages”, especially for data analytics/data science. Combined, they are even more powerful. In this course, author and Excel expert Felix Zumstein explains how to work with pandas DataFrames in Excel. pandas DataFrames are the backbone of every Python-based data analysis in Excel. Get a thorough introduction to DataFrames. Learn how to turn different sources—such as an Excel range, an Excel table, or a Power Query—into a DataFrame. Find out why and when it makes sense to use a DataFrame, as opposed to native Excel features like Power Query, Pivot Tables, or VLOOKUP formulas. Use a practical dataset to explore the basics of working with DataFrames, including an index, headers, filtering data, dropping duplicates, adding a new column, combining two DataFrames, and re-indexing. Plus, take a quick look at time series and visualizations