pandas

๐Ÿ—บ๏ธ Pandas Learning Roadmap for Aspiring Data Scientists


๐Ÿงฑ 1. Basics of Pandas

Get comfortable with how pandas works and its core structures.

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๐Ÿ—ƒ๏ธ 2. Data Exploration & Summary

Learn how to inspect and understand the dataset.

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๐Ÿ“‹ 3. Data Selection & Indexing

Learn how to access and manipulate rows and columns.

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โœ๏ธ 4. Data Cleaning

Clean and prepare data for analysis or modeling.

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๐Ÿ”ง 5. Data Transformation

Modify data for analysis or modeling.

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๐Ÿงฎ 6. Aggregation & Grouping

Group and summarize data for insights.

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๐Ÿ”„ 7. Merging, Joining & Concatenation

Work with multiple datasets.

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๐Ÿ•ฐ๏ธ 8. Working with Date and Time

Handle time series data.

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๐Ÿ“ˆ 9. Data Visualization (with Pandas)

Basic visualizations to explore data.

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๐Ÿ”น Later, transition to using Seaborn or Matplotlib for more advanced plots.


๐Ÿงช 10. Input/Output Operations

Read from or write to different file types.

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โš™๏ธ 11. Advanced Features & Optimization

Improve performance and write cleaner code.

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๐ŸŽฏ 12. Practical Use Cases & Projects

Apply what you learned in real datasets.

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โœ… Tips for Learning Pandas:

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