> ## Documentation Index
> Fetch the complete documentation index at: https://python4ai.codewithsiva.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Analysis Practice

> Practice exercises and notebooks for NumPy, Pandas, and Data Visualization

## Data Analysis Practice Notebooks

Master data manipulation, analysis, and statistical visualization using Python's core data science libraries.

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### 1. NumPy

<CardGroup cols={2}>
  <Card title="Follow-Along Practice" icon="laptop-code">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/numpy_tutorial.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/numpy_tutorial.ipynb) | <a href="/public/notebooks/numpy_tutorial.ipynb" download>📥 Download</a>
  </Card>

  <Card title="Practice Exercises" icon="pen-to-square">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/numpy_student_exercise.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/numpy_student_exercise.ipynb) | <a href="/public/notebooks/numpy_student_exercise.ipynb" download>📥 Download</a>
  </Card>
</CardGroup>

***

### 2. Pandas

<CardGroup cols={2}>
  <Card title="Follow-Along Practice" icon="laptop-code">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/pandas-2-0-1-tutorial.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/pandas-2-0-1-tutorial.ipynb) | <a href="/public/notebooks/pandas-2-0-1-tutorial.ipynb" download>📥 Download</a>
  </Card>

  <Card title="Practice Exercises" icon="pen-to-square">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/pandas_student_exercise.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/pandas_student_exercise.ipynb) | <a href="/public/notebooks/pandas_student_exercise.ipynb" download>📥 Download</a>
  </Card>
</CardGroup>

***

### 3. Matplotlib

<CardGroup cols={1}>
  <Card title="Practice Exercises" icon="pen-to-square">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/matplotlib_student_exercise.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/matplotlib_student_exercise.ipynb) | <a href="/public/notebooks/matplotlib_student_exercise.ipynb" download>📥 Download</a>
  </Card>
</CardGroup>

***

### 4. Seaborn

<CardGroup cols={1}>
  <Card title="Practice Exercises" icon="pen-to-square">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/seaborn_student_exercise.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/seaborn_student_exercise.ipynb) | <a href="/public/notebooks/seaborn_student_exercise.ipynb" download>📥 Download</a>
  </Card>
</CardGroup>

***

### 5. Visualization Guide

<CardGroup cols={1}>
  <Card title="Practice Exercises" icon="pen-to-square">
    [💻 VS Code](vscode://file/Users/sivaprasad/Downloads/python%20material/python4ai/public/notebooks/visualization_student_exercise.ipynb) | [🚀 Colab](https://colab.research.google.com/github/prasad230776/python4ai/blob/master/public/notebooks/visualization_student_exercise.ipynb) | <a href="/public/notebooks/visualization_student_exercise.ipynb" download>📥 Download</a>
  </Card>
</CardGroup>

***

### Datasets

These are the underlying datasets used in the notebooks above. Download them and save them in your workspace under a `data/` folder:

<CardGroup cols={2}>
  <Card title="student_dataset.csv" icon="file-csv" href="/public/data/student_dataset.csv">
    Student performance dataset used in the Pandas and visualization tutorials.
  </Card>

  <Card title="obesity_prediction.csv" icon="file-csv" href="/public/data/obesity_prediction.csv">
    Obesity prediction dataset used for data analysis and modeling exercises.
  </Card>
</CardGroup>