This guide provides a detailed methodology for conducting effective and innovative data science projects in the public domain. The guide is divided into four phases: understanding the problem, designing the proposed solution, developing the pilot and implementing the solution. In each of these phases, detailed steps and practical tools are presented to ensure the success of the project. In addition, the guide includes ethical and data security considerations to ensure that the project is carried out responsibly and effectively.

It is aimed at civil servants seeking to lead data science projects in the public sector. A solid understanding of the problem to be solved, basic statistics and the available data and its limitations is necessary to get the most out of this guide. The guide is a valuable tool for any professional seeking to innovate and carry out successful data science projects in the public sector.