Data science methods and tools - including programming, data management, visualisation and machine learning - and their application to neuroimaging research.

As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage and analyse datasets at unprecedented scales. Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice. This book offers neuroimaging researchers an introduction to data science, presenting methods, tools and approaches that facilitate automated, reproducible and scalable analysis and understanding of data. Through guided, hands-on explorations of openly available neuroimaging datasets, the book explains such elements of data science as programming, data management, visualisation and machine learning, and describes their application to neuroimaging. Readers will come away with broadly relevant data science skills that they can easily translate to their own questions.