Hands-On Data Science for Librarians by Sarah Lin, Paperback, 9781032080826 | Buy online at The Nile
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Hands-On Data Science for Librarians

Author: Sarah Lin and Dorris Scott   Series: Chapman & Hall/CRC Data Science Series

Paperback

This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others.

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Summary

This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others.

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Description

Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there’s a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS).

Key Features:

  • Only data science book available geared toward librarians that includes step-by-step code examples
  • Examples include all library types (public, academic, special)
  • Relevant datasets
  • Accessible to non-technical professionals
  • Focused on job skills and their applications

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Critic Reviews

"Overall, the appearance will offer librarians fresh and thrilling perspectives within their field, leading to novel avenues of exploration and deepening one’s grasp of library sciences. Additionally, it will shed light on how data science can infuse libraries with added significance and allure."

Firdous Ahmad Mala, Cluster University Srinagar, India, Technometrics, May 2024.

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About the Author

Sarah Lin is the Senior Information & Content Architect at MongoDB.

Dorris Scott, PhD is the Academic Director of Data Studies at Washington University in St. Louis.

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Product Details

Publisher
Taylor & Francis Ltd | Chapman & Hall/CRC
Published
9th May 2023
Pages
180
ISBN
9781032080826

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