Pandas DataFrame Merging Explained (How to Join DataFrames in Pandas)

Master Pandas Joins: Inner, Outer, Left & Right Merges Explained!
Want to master data merging and joins in Pandas? In this video, we break down how to join DataFrames just like SQL, covering inner joins, outer joins, left joins, and right joins using the powerful Pandas merge() function.

What You'll Learn:
✅ Concatenating DataFrames with concat() (rows & columns)
✅ Using merge() for SQL-style joins
✅ Inner Join vs. Outer Join vs. Left & Right Joins
✅ Joining on Index vs. Columns for efficient data analysis

This is the final video in our Pandas learning series based on Matt Harrison's book, and next, we'll apply these skills to a real-world data pipeline project before diving into Practical Statistics for Data Science.

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