Filtering, Sorting, Grouping & Aggregation in Pandas (Part 2)

Описание: *Filtering, Sorting, Grouping & Aggregation in Pandas (Part 2)*

In this video, we continue building on our data exploration skills in Pandas by diving deeper into *grouping and aggregation* — two powerful techniques used to summarize and analyze data.

If you’ve already learned how to filter and sort data, this is the next step: understanding how to group data and extract meaningful insights from it.

In this lesson, we focus on practical, real-world use cases to help you truly understand how these operations work together.

In this video, you’ll learn:

• How to group data using `groupby()`
• Performing aggregations like `sum()`, `mean()`, `count()`
• Grouping by single and multiple columns
• Combining filtering with grouping
• Sorting grouped results for better analysis
• Understanding how aggregation helps in real-world datasets

These concepts are essential for **data analysis, reporting, and machine learning workflows**, and they are used heavily in real-world projects.

By the end of this video, you’ll be able to group, summarize, and analyze your data more effectively using Pandas.

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🔗 *Practice Along on GitHub:*
https://github.com/abaccus29/pandas-f...


Keep practicing — this is where your data analysis skills start to feel powerful 🚀