Facet Publishing announce the publication of Practical Data Science for Information Professionals by David Stuart.

Data science has a wide range of applications within the information profession, from working alongside researchers in the discovery of new knowledge, to the application of business analytics for the smoother running of a library or library services. The growing importance of data science, and the increasing role of information professionals in the management and use of data, are brought together in Practical Data Science for Information Professionals to provide a practical introduction specifically designed for information professionals.

This book aims to provide an accessible introduction to data science using detailed examples and analysis on real data sets, with a focus on the application of open source software. Offering advice applicable to all types of libraries around the world, from large academic libraries to small research libraries, this book aims to reduce barriers for readers to use the lessons learned within.

Readers can expect that the growing importance of data science and some of the most important tools and methods that information professionals may use will be covered in this book. Practical Data Science for Information Professionals also features an analysis of the future of data science and the role of the information professional.

David Stuart said of the text: "The growing importance of data science in the world today is impossible to miss — especially during the COVID-19 pandemic. With such a big and multifaceted subject, however, it can be difficult for information professionals to know where to begin. This book provides a practical introduction to data science, aimed specifically at the community of information professionals, and introduces some of the main tools and methods for data analysis, including those for forecasting, social network analysis, and text analysis. "

David Stuart is an independent information professional and an honorary research fellow at the University of Wolverhampton, and was previously a research fellow at King's College London and the University of Wolverhampton. He regularly publishes in peer-reviewed academic journals and professional journals on information science, metrics, and semantic web technologies. He is author of Practical Ontologies for Information Professionals (2016), Web Metrics for Library and Information Professionals (2014), and Facilitating Access to the Web of Data (2011).

Practical Data Science for Information Professionals| July 2020 | 208pp | paperback: 9781783303441| £50 | hardback: 9781783303458| £110