Phase 6 · Python for Data Analysis
TopicsPandas Fundamentals
Part of the Data Analyst Roadmap.
Summary
The core Python library for tabular data analysis — loading, inspecting, filtering and transforming data using a syntax that feels like a more powerful, scriptable Excel.
How to Learn This
- 1Load a CSV into a Pandas DataFrame and explore it with .head(), .info(), .describe().
- 2Practice filtering rows and selecting columns using Pandas syntax.
- 3Compare a Pandas operation to the equivalent Excel or SQL operation to build intuition.
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