The foundational methodology for Data Science is often represented by a cycle or flow diagram.
One widely used diagram is the CRISP-DM (Cross-Industry Standard Process for Data Mining) model.
It includes the following steps:
1. Business Understanding
2. Data Understanding
3. Data Preparation
4. Modeling
5. Evaluation
6. Deployment
A simple way to draw it is as a circular flowchart showing how each stage connects in a loop.
This shows that Data Science is an iterative process with continuous refinement.
Students should draw this diagram in their notebooks with arrows indicating the flow between stages.