Statistical Inference for Engineers and Data Scientists by Pierre Moulin (Author), 1st Edition, offers a mathematically accessible introduction to essential tools for addressing contemporary inference challenges in engineering and data science. Ideal for graduate students pursuing courses on statistical inference and detection and estimation, this comprehensive guide is also an invaluable resource for professionals and researchers. The book includes numerous illustrations and practical examples that elucidate key theoretical concepts and their real-world applications, enhancing understanding and facilitating the application of statistical methods. Additionally, it provides supplementary material to explore advanced topics and features end-of-chapter problems to reinforce learning. A password-protected solutions manual and an image gallery are available online for further support.