34.Master Pandas in One Video | Apply, GroupBy, Pivot Tables, Rolling Window, Resampling

Welcome to Data Den with Prashant!
In this video, you will learn Advanced Pandas concepts used in real-world Data Analysis and Data Science.

This is the 4th video of the Pandas series where we explore powerful data manipulation and analysis techniques using Python Pandas.

Topics covered in this tutorial:

✔ where() function in Pandas
✔ mask() function
✔ cut() for data binning
✔ Handling missing values using:
- isna()
- isnull()
- notnull()
✔ dropna() for removing missing data
✔ fillna() for filling missing values
✔ Apply() function
✔ Map() function
✔ Splitting columns in Pandas
✔ String operations:
- strip()
- lower()
- upper()
✔ GroupBy in Pandas
✔ GroupBy with multiple columns
✔ agg() aggregation function
✔ pivot() function
✔ pivot_table()
✔ stack() and unstack()
✔ crosstab()
✔ rank() function
✔ Rolling window operations
✔ Resampling time series data

This tutorial is perfect for:
• Data Analysts
• Data Scientists
• Python Developers
• Beginners learning Pandas

By the end of this video, you will understand how to perform powerful data analysis operations using Pandas.

00:00 Intro
02:10 where()
05:40 mask()
09:30 cut()
15:00 Handling Missing Values
22:00 dropna()
28:30 fillna()
35:00 Apply()
41:00 Map()
48:00 Split columns
55:00 String functions
1:05:00 GroupBy
1:15:00 Pivot Tables
1:25:00 Crosstab
1:30:00 Rank
1:35:00 Rolling Window
1:42:00 Resampling

🔥 Watch Full Pandas Series:
Part 1 – Pandas Basics
Part 2 – loc, iloc, sort, rename, drop, unique
Part 3- concat, merge, query, isin, between, duplicates

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Stay tuned — Part 5 is coming soon 🚀

Видео 34.Master Pandas in One Video | Apply, GroupBy, Pivot Tables, Rolling Window, Resampling канала Data Den with Prashant