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Practical Data Science for Information Professionals
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This book is ideal for librarians and information professionals in academic, research, and other library settings who seek a practical foundation in data science. It is especially suitable for those interested in applying open source software tools to enhance their data management and analysis skills.
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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.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, offering readers an overview of data science and a framework for its application. It includes detailed examples and analyses of real data sets to explore the basics of the subject in three principal areas: clustering and social network analysis, predictions and forecasts, and text analysis and mining.
Alongside highlighting a wealth of user-friendly data science tools, the book also features example code in two of the most popular programming languages, R and Python, demonstrating how easily an information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code.
After reading, readers will understand:
- The growing importance of data science
- The role of the information professional in data science
- Some of the most important tools and methods that information professionals can use
Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals provides a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals worldwide, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to apply the lessons learned within.
Book Details
INFORMATION
ISBN: 9781783303458
Publisher: Facet Publishing
Format: Hardback
Date Published: 24 July 2020
Country: United Kingdom
Imprint: Facet Publishing
Audience: Professional and scholarly
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 250g
Pages: 208
About the Author
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).
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