📊 Basics of Data Science

Welcome to the Basics of Data Science repository!
This repo contains beginner-friendly Jupyter Notebooks that explain essential data science concepts using Python and popular libraries like NumPy, Pandas, Matplotlib, and more.

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📁 Contents

Each folder contains hands-on Jupyter Notebooks with explanations, code examples, and visualizations:

📂 Topic	📌 Description
🧮 NumPy	Numerical computing using arrays and vectorized operations
📊 Pandas	Data manipulation and analysis using DataFrames
📈 Matplotlib	Basic plotting and data visualization
🎨 Seaborn	Statistical data visualization on top of Matplotlib
📉 Plotly	Interactive plots and dashboards
📚 Statistics	Descriptive statistics, distributions, and probability

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📘 Run Notebooks in Google Colab

🚀 No need to install anything! Just click the Colab links to open notebooks directly in your browser.

📂 Topic	📓 Notebook	▶️ Colab Link
Matplotlib	mat_1.ipynb	Open in Colab
	mat_2.ipynb	Open in Colab
NumPy	array1_basic.ipynb	Open in Colab
	array2_basics.ipynb	Open in Colab
Pandas	pandas_1.ipynb	Open in Colab
	pandas_2.ipynb	Open in Colab
	pandas_3.ipynb	Open in Colab
	pandas_4.ipynb	Open in Colab
Statistics	statistics_part1.ipynb	Open in Colab
	statistics_part2.ipynb	Open in Colab
	practice_1.ipynb	Open in Colab

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📎 How to Use This Repository

1. ✅ Make sure your browser is signed in with a Google account.
2. 🌐 Click any "Open in Colab" link from above.
3. 📤 To edit and save, go to File > Save a copy in Drive.
4. 📁 To upload your own datasets, use the Files tab in Colab.

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🙌 Contributing

Contributions, suggestions, and improvements are welcome! Feel free to fork this repo, submit issues, or open pull requests.

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📩 Contact

For feedback purpose , connect with me via GitHub.

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