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5 Lessons

Data Manipulation with Pandas

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Pandas Series and DataFrame structures

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1 of 5 Lessons

Reading/Writing data (CSV, Excel, SQL)

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2 of 5 Lessons

Handling missing data (dropna, fillna)

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3 of 5 Lessons

Data transformation (groupby, merge, join, concatenate)

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4 of 5 Lessons

Exploratory Data Analysis (EDA) functions using pandas

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5 of 5 Lessons

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