Data Science Essentials with Python

This repository contains my practical notebooks, exercises, and mini-projects from the Cisco NetAcad Data Science Essentials with Python course.

📌 Topics Covered

• Python Basics
• NumPy Fundamentals
• Pandas for Data Analysis
• Data Cleaning
• Data Visualization 🚀 This repository will be updated continuously as I progress through the course.

🛠 Tools & Libraries

• Python
• Jupyter Notebook
• Pandas
• NumPy
• Matplotlib
• Seaborn

📂 Repository Structure

• 01_python_basics/ → Python fundamentals
• 02_numpy_and_pandas/ → data manipulation
• 03_data_visualization/ → charts and plots
• 04_small_projects/ → mini projects
• datasets/ → practice datasets

🎯 Purpose

To build a strong foundation in Data Science and showcase my practical learning journey.

👨‍💻 Author

Mamdouh Samir