Pandas GroupBy & Aggregation Explained in 15 Minutes on real world data | Python Pandas tutorial

This video of Joey's Python Pandas series walks you through a very important concept of 'grouping and aggregation in Pandas'.
You will learn all the tips and tricks of grouping and aggregation, and various aggregation functions used by Data Analysts and Data Scientists everyday in Pandas.
Using a real-world banking dataset, you will learn -
✅ How to Group data on a particular column(s) using groupby()
✅ Perform aggregation on grouped data using functions like sum(), mean(), count()
✅ Apply multiple aggregations at the same time using .agg() function
✅ Group by multiple columns
✅ Use .reset_index() for clean DataFrames

No data analysis can get complete without the use of groupby() hence learning groupby() is immensely necessary therefore, you need to watch this video till the end.

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