Phase 6 · Python for Data Analysis
TopicsMerging & Joining DataFrames
Part of the Data Analyst Roadmap.
Summary
Pandas' equivalent of SQL joins — combining two DataFrames on a shared key using pd.merge(), with the same inner/left/right/outer logic from Phase 3.
How to Learn This
- 1Practice a left merge between two related DataFrames (e.g. orders and customers).
- 2Compare the Pandas merge syntax directly to the SQL JOIN you'd write for the same result.
- 3Learn to check for unexpected row-count changes after a merge (a common bug source).
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