This repository contains the Python scripts and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics in data analysis using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Data Cleaning: Handling missing values, transforming columns, and filtering data.
- Data Wrangling: Merging, reshaping, and aggregating data.
- Exploratory Data Analysis (EDA): Analyzing datasets with statistics and visualizations.
- Data Visualization: Creating insightful plots using Matplotlib and Seaborn.
Each file in this repository represents a lesson or exercise from the course, providing hands-on examples of how to analyze real-world datasets.