CRISP-DM stands for Cross Industry Standard Process for Data Mining. It is a methodology for data science programs. It has the following phases: Business understanding – (Typical tasks are: Determine business objective, Assess Situation, Determine Data mining goals, project plan) Data understanding – (Collect initial data, Describe data, Explore Data, Verify Data Quality) Data preparation – (Select data, Clean data, Construct data, Integrate data, Format data) Modelling or Model development – (Select Modelling techniques, Generate test design, Build model, Assess model) Model evaluation – (Evaluate results, Review process, Determine next steps) Deployment – (Plan deployment, Plan monitoring & maintenance, Product final report & Review Project) Some phases are iterative in nature and any data science project or program which is end to end typically follows this methodology. Below is a diagrammatic view for better understanding