Pandas

This project is a data analysis notebook using Pandas applied to the famous Titanic dataset.

The notebook walks through the first essential steps of working with data in Python, starting from importing the required libraries, loading the dataset, and exploring its structure.

Key highlights of the project:

•Using pandas for data loading and manipulation.

•Reading data from a CSV file and converting it into a structured DataFrame.

•Displaying and exploring the dataset to understand its columns and rows.

•Laying the groundwork for further analysis such as data cleaning, filtering, and visualization.

The goal of this notebook is to provide a practical introduction to data handling in Python, using a real-world dataset that is widely used for teaching and practice. It shows how data scientists start their workflow: importing, organizing, and preparing the data before moving into deeper analysis or machine learning.