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This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.

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Data Analysis with Python: Zero to Pandas

This repository contains the Python scripts and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics in data analysis using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Key Topics Covered:

  • Data Cleaning: Handling missing values, transforming columns, and filtering data.
  • Data Wrangling: Merging, reshaping, and aggregating data.
  • Exploratory Data Analysis (EDA): Analyzing datasets with statistics and visualizations.
  • Data Visualization: Creating insightful plots using Matplotlib and Seaborn.

Each file in this repository represents a lesson or exercise from the course, providing hands-on examples of how to analyze real-world datasets.

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This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.

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