Hands-On Data Science for Librarians
Language: English
Published by Taylor and Francis Ltd, GB, 2023
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 90.19
Quantity: 1 available
Add to basketItem description from seller
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.…
Seller Inventory # LU-9781032080826
- Title
- Hands-On Data Science for Librarians
- Author
- Dorris Scott, Sarah Lin
- Publisher
- Taylor and Francis Ltd, GB
- Publication year
- 2023
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1032080825
- ISBN 13
- 9781032080826
- Item weight
- 370 grams
- Series
- Book 24 of 36: Chapman & Hall/CRC Data Science
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
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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