telecom_customer_churn_analysis

Acquire and Prepare Data:

Extract and clean customer data from various sources (e.g., databases, CSV files).

Handle missing values, inconsistencies, and outliers effectively.

Engineer relevant features from raw data.

Conduct Exploratory Data Analysis (EDA):

Identify key drivers of customer churn through data visualization and summary statistics.

Analyze customer demographics, service usage patterns, and account history.

Understand the factors contributing to customer attrition.