The book "Statistical Learning of Complex Data" offers a comprehensive collection of peer-reviewed contributions that address the latest findings in the fields of classification, statistical learning, and data analysis. It covers both supervised and unsupervised classification, clustering, and the statistical analysis of mixed data types. Additionally, it discusses methods for analyzing big data, statistical modeling, graphical models, and social networks. The application of these methods spans various disciplines, including economics, architecture, medicine, and consumer behavior. The book also provides insights into the software behind the analysis results and connects to the relevant codes and datasets. It is aimed at researchers and practitioners interested in the latest developments in data analysis and classification.