📊 Data Analysis with Python

This repository contains data analysis projects and practice notebooks created using Python. It focuses on exploring, cleaning, analyzing, and visualizing datasets to extract meaningful insights.

🚀 Objectives

Perform data cleaning and preprocessing

Conduct exploratory data analysis (EDA)

Apply statistical analysis

Create visualizations to communicate insights

Build a strong data analysis portfolio

🛠️ Tools & Technologies

Python

Pandas

NumPy

Matplotlib

Seaborn

Jupyter Notebook

📂 Repository Structure data-analysis-python/ │ ├── datasets/ # Sample datasets used for analysis ├── notebooks/ # Jupyter notebooks for EDA and analysis ├── visualizations/ # Charts and graphs ├── README.md # Project documentation

📈 Topics Covered

Data Cleaning & Handling Missing Values

Exploratory Data Analysis (EDA)

Data Aggregation & Grouping

Descriptive Statistics

Data Visualization

Real-world business insights