This document outlines the methodology for a data science project using the Cross-Industry Standard Process for Data Mining (CRISP-DM). It describes the 6 phases of the project - business understanding, data understanding, data preparation, modeling, evaluation, and deployment. For each phase, it provides examples of the types of activities and questions that should be addressed to successfully complete that phase of the project.