Python Course Day 29 | Pandas GroupBy Aggregation, size(), Merge, Concat, Pivot Table & Crosstab

🚀 Python Course Day 29 (Hindi)

In this lecture, we dive deeper into Pandas Data Analysis and learn some of the most important concepts used in real-world Data Science, Data Analytics, and Machine Learning projects.

📚 Topics Covered

✅ GroupBy Concept (Split → Apply → Combine)

✅ Multiple Aggregations using .agg()

mean()
max()
min()
multiple statistics together

✅ Counting Records

.count()
.size()
Difference between count() and size()

✅ Merge DataFrames (SQL Joins)

Inner Join
Left Join
Right Join
Outer Join

✅ Concatenation using pd.concat()

Vertical Concatenation (axis=0)
Horizontal Concatenation (axis=1)
ignore_index=True

✅ Pivot Tables

Summarizing data
Excel-like Pivot Tables in Pandas

✅ Crosstab

Frequency Tables
Category Analysis
🎯 Who Should Watch?
Python Beginners
Data Analysis Students
Data Science Aspirants
Machine Learning Learners
College Students
Working Professionals
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Follow the complete Python Hindi series from Day 1 to become a Python Developer and Data Analyst.

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