# Data Science With Python 🚀
A structured repository for learning and practicing:
- Python
- NumPy
- Pandas
- Statistics
- Linear Algebra
- Data Visualization
- Exploratory Data Analysis (EDA)
This repository contains hands-on notebooks, assignments, case studies, and practice programs built during my Data Science learning journey.
Data-Science-With-Python/
├── 01_Python_Basic/
├── 02_Numpy/
├── 03_Pandas/
├── 04_Visualization/
├── 05_Maths/
├── 06_Python_assignment/
└── README.md
📘 Topics Covered
Python Fundamentals
Functions & OOP
NumPy Arrays
Pandas DataFrames
Statistics & Hypothesis Testing
Linear Algebra
Matplotlib & Seaborn
EDA & Case Studies
🛠️ Tools Used
Python
Jupyter Notebook
NumPy
Pandas
Matplotlib
Seaborn
🎯 Goal
To build strong foundations in Python and Data Science through practical implementation and projects.
🌟 GitHub GitHub: https://github.com/asvarshini