A comprehensive data analysis project that loads, cleans, and analyzes the Telco customer dataset to uncover actionable insights. The project involves data cleaning by handling duplicates and converting data types , followed by extensive Exploratory Data Analysis (EDA) using libraries like Matplotlib and Seaborn. Key findings reveal that churn is highest among new customers (0-12 months tenure) , those with high monthly charges , Fiber Optic internet service users , and customers on month-to-month contracts. The analysis concludes with strategic recommendations to improve customer retention.
