The Global Covid-19 Data Analysis project explores the trends and patterns in Covid-19 cases worldwide. Using datasets sourced from reliable platforms like Kaggle, the project involves cleaning and preprocessing data using Python's Pandas library. Visualizations such as time-series graphs, heatmaps, and bar charts are created using Matplotlib and Seaborn to understand the spread and impact of the pandemic across different countries. This project demonstrates proficiency in data cleaning, analysis, and visualization, showcasing the ability to derive actionable insights from real-world data.