Understanding the Data Science Lifecycle

Ravendracroma14 Jun, 2025Education

The Data Science Lifecycle involves stages like problem definition, data collection, data cleaning, exploratory analysis, modeling, evaluation, and deployment. Each step transforms raw data into actionable insights. This iterative process ensures accurate predictions and informed decisions, making it essential for solving real-world problems effectively using data-driven approaches.