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Part IX: Projects in Practice

This part closes the course arc. You have run CRISP-DM through multiple problem types and built a project alongside the material. Here the scope widens: from a student group project to multi-stakeholder organizational reality. Topics cover how to communicate findings, how to move from a notebook to a running system, how to keep a deployed model trustworthy over time, and what comes next after this course.

Nuggets in This Part

#	Nugget	Prerequisites
1	CRISP-DM Retrospective: From Coursework to Real Projects	CRISP-DM · Working as a Team on a DS Project
2	Pitching a Data-Science Idea	CRISP-DM Retrospective: From Coursework to Real Projects · Reality-Checking Your Idea
3	Stakeholder Communication	CRISP-DM Retrospective: From Coursework to Real Projects · Explainability
4	From Script to Production System	CRISP-DM Retrospective: From Coursework to Real Projects · Academia vs. Business Data Science
5	Interface Design and Integration	From Script to Production System
6	Model Drift and Monitoring	From Script to Production System · Generalization · Choosing and Aligning Metrics
7	Ethics and Accountability in Production	AI Ethics: A Primer · From Script to Production System
8	Troubleshooting, Pitfalls, and When to Ask for Help	CRISP-DM Retrospective: From Coursework to Real Projects · EDA: Data Quality · Data Splits · Underfitting and Overfitting · Choosing and Aligning Metrics
9	Your Advantage	Ethics and Accountability in Production · Finding Your Idea

Script v1.8 (2026-08-19) · FGN