This project involves an in depth analysis of customer sales data using Python, Jupyter notebook, Pandas, and Matplotlib The goal is to uncover key business insights and trends from historical sales data, including customer behavior, sales performance, and product popularity.
- Data cleaning and preprocessing using Pandas
- Exploratory data analysis (EDA) using pandas, matplotlib and seaborn libraries.
- Insights into customer segmentation, top-selling products, and sales trends
- Summary of business recommendations based on data findings