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data-analytics-with-python-nptel

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Repository for the NPTEL course 'Data Analytics with Python'. Includes code examples, notebooks, and exercises covering data manipulation, visualization, statistics, and machine learning with Python libraries like NumPy, Pandas, and Matplotlib.

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# 📊 Data Analytics with Python - NPTEL Course 🐍

![Python](https://img.shields.io/badge/Python-3.7+-blue?style=for-the-badge&logo=python&logoColor=white)
  ![NumPy](https://img.shields.io/badge/NumPy-1.20+-lightblue?style=for-the-badge&logo=numpy&logoColor=white)
  ![Pandas](https://img.shields.io/badge/Pandas-1.3+-yellow?style=for-the-badge&logo=pandas&logoColor=white)
  ![Matplotlib](https://img.shields.io/badge/Matplotlib-3.4+-orange?style=for-the-badge&logo=matplotlib&logoColor=white)
</div>

<div align="center">
  <p><b>🎓 Course Review:</b> <a href="https://youtu.be/QLyti7a3wMw?si=V9ZGUUprNrLslesZ"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="Course Review video"></a></p>
</div>

## 📋 Course Overview

This repository contains materials for the NPTEL course "Data Analytics with Python," including code examples, assignments, and resources for statistical analysis and machine learning.

## 🗓️ Course Layout

<table>
  <tr>
    <th width="100">Week</th>
    <th>Topics</th>
    <th width="70">Status</th>
  </tr>
  <tr>
    <td align="center">📍 Week 1</td>
    <td>Introduction To Data Analytics And Python Fundamentals</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 2</td>
    <td>Introduction To Probability</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 3</td>
    <td>Sampling And Sampling Distributions</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 4</td>
    <td>Hypothesis Testing</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 5</td>
    <td>Two Sample Testing And Introduction To ANOVA</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 6</td>
    <td>Two-Way ANOVA And Linear Regression</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 7</td>
    <td>Linear Regression And Multiple Regression</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 8</td>
    <td>Concepts Of MLE And Logistic Regression</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 9</td>
    <td>ROC And Regression Analysis Model Building</td>
    <td align="center">✅</td>
  </tr>
  <tr>
    <td align="center">📍 Week 10</td>
    <td>C2 Test And Introduction To Cluster Analysis</td>
    <td align="center">✅</td>
  </tr>
</table>

## 🎯 Learning Path

```mermaid
graph LR
    A[Python Fundamentals] --> B[Probability]
    B --> C[Sampling]
    C --> D[Hypothesis Testing]
    D --> E[ANOVA]
    E --> F[Regression]
    F --> G[Logistic Regression]
    G --> H[Model Building]
    H --> I[Cluster Analysis]
    
    style A fill:#d1f0ff,stroke:#0077b6
    style B fill:#d1f0ff,stroke:#0077b6
    style C fill:#d1f0ff,stroke:#0077b6
    style D fill:#ffe5d9,stroke:#f4a261
    style E fill:#ffe5d9,stroke:#f4a261
    style F fill:#e9ecef,stroke:#6c757d
    style G fill:#e9ecef,stroke:#6c757d
    style H fill:#e9ecef,stroke:#6c757d
    style I fill:#d8f3dc,stroke:#2d6a4f
```

## 📝 Assignment Solutions (Previous Course)

<table>
  <tr>
    <th width="150">Week</th>
    <th>Solution Link</th>
    <th width="100">Status</th>
  </tr>
  <tr>
    <td>📝 Week 1</td>
    <td><a href="https://youtu.be/lEF4bSJwAZE"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 2</td>
    <td><a href="https://youtu.be/3rTdNwQSuaI"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 3</td>
    <td><a href="https://youtu.be/8uUVuMNF8gI"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 4</td>
    <td><a href="https://youtu.be/B9SSEX5w2Vs"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 5</td>
    <td><a href="https://youtu.be/eTv6eHAdUNA"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 6</td>
    <td><a href="https://youtu.be/_7mCv-ZOYlU"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 7</td>
    <td><a href="https://youtu.be/8RhI9Yjbp9c"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 8</td>
    <td>Coming soon!</td>
    <td>⏳ Pending</td>
  </tr>
  <tr>
    <td>📝 Week 9</td>
    <td>Coming soon!</td>
    <td>⏳ Pending</td>
  </tr>
  <tr>
    <td>📝 Week 10</td>
    <td><a href="https://youtu.be/3sSgR04FFfM"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="YouTube"></a></td>
    <td>✅ Available</td>
  </tr>
  <tr>
    <td>📝 Week 11</td>
    <td>Coming soon!</td>
    <td>⏳ Pending</td>
  </tr>
  <tr>
    <td>📝 Week 12</td>
    <td>Coming soon!</td>
    <td>⏳ Pending</td>
  </tr>
</table>

### 📺 YouTube Playlist
[Complete NPTEL Course Videos](https://youtu.be/cmRkGyrcsrI)

### 👨‍👩‍👧‍👦 Join Our Study Group
<a href="https://discord.gg/rNKDggem">
  <img src="https://img.shields.io/badge/Discord-Join_Study_Group-7289DA?style=for-the-badge&logo=discord&logoColor=white" alt="Discord Study Group">
</a>

## 📚 Week 1: Introduction To Data Analytics And Python Fundamentals

<div align="center">
  <table>
    <tr>
      <th width="300">Resource</th>
      <th>Link</th>
    </tr>
    <tr>
      <td>🎬 Assignment solution</td>
      <td><a href="https://youtu.be/lEF4bSJwAZE?si=KsXJCFaYiDWEYnur"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="Assignment solution"></a></td>
    </tr>
    <tr>
      <td>🧩 Practice Questions</td>
      <td><a href="https://www.youtube.com/live/_ehcQLhzzzM?si=p9gSGKQHGIZ5Hjrf"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="Practice Questions"></a></td>
    </tr>
    <tr>
      <td>📝 Summary of Week-1</td>
      <td><a href="https://youtu.be/klreBPvFSxE?si=G6F-qQo4VFfyrxIe"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="Summary of Week-1"></a></td>
    </tr>
    <tr>
      <td>📊 Central Tendency and Dispersion</td>
      <td><a href="https://youtu.be/jjRwZzgFhXY"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="Central Tendency and Dispersion"></a></td>
    </tr>
    <tr>
      <td>💻 How to Run Python Notebook Online</td>
      <td><a href="https://youtube.com/live/NvSPiaflnO0"><img src="https://img.shields.io/badge/YouTube-Video-green" alt="Top 5 Platform to Run Python In Online"></a></td>
    </tr>
  </table>
</div>

## 🧮 Statistical Tools & References

<div align="center">
  <table>
    <tr>
      <th>Tool</th>
      <th>Description</th>
      <th>Link</th>
    </tr>
    <tr>
      <td>📈 Z-table</td>
      <td>Standard normal distribution table</td>
      <td><a href="https://www.ztable.net/">Access Z-table</a></td>
    </tr>
    <tr>
      <td>🧮 Z-score Calculator</td>
      <td>Calculate Z-scores easily</td>
      <td><a href="https://www.calculator.net/z-score-calculator.html">Use Calculator</a></td>
    </tr>
    <tr>
      <td>📊 T-table</td>
      <td>Student's t-distribution table</td>
      <td><a href="https://www.tdistributiontable.com/">Access T-table</a></td>
    </tr>
    <tr>
      <td>🧮 T-value Calculator</td>
      <td>Calculate T-values easily</td>
      <td><a href="https://goodcalculators.com/student-t-value-calculator/">Use Calculator</a></td>
    </tr>
  </table>
</div>

## 📌 Key Topics Covered

<div align="center">
  <table>
    <tr>
      <td align="center" width="100"><img src="https://img.shields.io/badge/-NumPy-013243?style=for-the-badge&logo=numpy&logoColor=white" alt="NumPy"></td>
      <td align="center" width="100"><img src="https://img.shields.io/badge/-Pandas-150458?style=for-the-badge&logo=pandas&logoColor=white" alt="Pandas"></td>
      <td align="center" width="100"><img src="https://img.shields.io/badge/-Matplotlib-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Matplotlib"></td>
      <td align="center" width="100"><img src="https://img.shields.io/badge/-Statistics-FFA500?style=for-the-badge&logo=python&logoColor=white" alt="Statistics"></td>
    </tr>
    <tr>
      <td align="center">Arrays & Matrix Operations</td>
      <td align="center">Data Manipulation</td>
      <td align="center">Data Visualization</td>
      <td align="center">Hypothesis Testing</td>
    </tr>
  </table>
</div>

<blockquote>
  <p>💡 <strong>Course Tip:</strong> Focus on understanding statistical concepts first, then learn how to implement them in Python. The combination of theoretical knowledge and practical coding skills will make you proficient in data analytics.</p>
</blockquote>

## 🙏 Credits

<div align="center">
  <p>NPTEL Video Playlist: <a href="https://youtube.com/playlist?list=PLLy_2iUCG87CNafffzNZPVa9rW-QmOmEv&si=bscrB6uSG308P1XJ">Watch all lectures</a></p>
  <p>Repository maintained by <a href="https://github.com/Yash-Kavaiya">Yash Kavaiya</a></p>
</div>

---

<div align="center">
  <p>⭐ Star this repository if you find it helpful! ⭐</p>
  <p>📚 Happy Learning and Data Analysis! 📊</p>
</div>

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