What Is Data Science?

Data Science is an interdisciplinary field that focuses on extracting meaningful insights and predictions from data. It combines:

• Statistics and Mathematics
• Programming and Computer Science
• Domain Knowledge (telecom customer behavior in this case)

A typical data science workflow includes:

• Data Collection: Gathering customer data from sources such as CSV files.
• Data Cleaning: Handling missing values and correcting data types.
• Exploratory Data Analysis (EDA): Identifying patterns, trends, and churn behavior.
• Feature Engineering: Creating meaningful variables that improve model performance.
• Model Building: Training machine learning models to make predictions.
• Model Evaluation: Measuring performance using appropriate metrics.
• Deployment: Making the model accessible through an interactive interface.

In this project, data science techniques are applied to customer data to analyze churn behavior and build a predictive system. The focus is not only on model accuracy but also on generating actionable business insights.