1.

Record Nr.

UNINA9910815628303321

Autore

Stuart David

Titolo

Practical data science for information professionals / / David Stuart [[electronic resource]]

Pubbl/distr/stampa

London : , : Facet, , 2020

ISBN

9781783303465

9781783303458

Descrizione fisica

1 online resource (xvi, 183 pages) : digital, PDF file(s)

Disciplina

005.74

Soggetti

Database management in libraries

Data curation in libraries

Data services librarians

Research - Data processing - Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from publisher's bibliographic system (viewed on 14 Aug 2020).

Nota di contenuto

What is data science? -- Little data, big data -- The process of data science -- Tools for data analysis -- Clustering and social network analysis -- Predictions and forecasts -- Text analysis and mining -- The future of data science and information professionals -- Appendix-Programming concepts for data science.

Sommario/riassunto

<p>The growing importance of data science, and the increasing role of information professionals in the management and use of data, are brought together in <i>Practical Data Science for Information Professionals</i> to provide a practical introduction specifically designed for information professionals.</p><p>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. <i>Practical Data Science for Information Professionals</i> provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject.</p><p>Content covered includes:</p><p><u><li>the growing importance of data science</li><li>the role of the information professional in data science</li><li>some of



the most important tools and methods that information professionals may use</li><li>an analysis of the future of data science and the role of the information professional.</li></ul></p><p>This book will be of interest to all types of libraries around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, the book aims to reduce barriers for readers to use the lessons learned within.</p>