About this document
Data Analytics Life Cycle Explained by dge363qfh is a document available to read on EtoBox.
The document outlines the Data Analytics Life Cycle, which consists of six phases: Discovery, Data Preparation, Model Planning, Model Building, Communication of Results, and Operationalize. Each phase involves specific tasks and tools that guide the analytics process from understanding the problem to deploying the final model in a production environment. The document emphasizes best practices and the iterative nature of data preparation and model execution.
- Author
- dge363qfh
- Language
- EN