The art and science of analyzing software data provides valuable insights into analytical techniques commonly used to derive insights from software data. This book shares best practices from the field, developed by leading data scientists based on their experiences in training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It includes a variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics like release planning and writing source code comments. It features stories from experienced data scientists that illustrate how to apply data analysis in industry and open source, present results to stakeholders, and drive decision-making.