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Practical Data Science for Information Professionals

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Title: Practical Data Science for Information Professionals
Description: Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining.As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the 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 will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, 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 use the lessons learned within.
Authors: David Stuart
Resource Type: eBook.
Subjects: Data curation in libraries, Data services librarians, Database management in libraries, Research--Data processing--Management, Data mining, Information science, E´dition de contenu dans les bibliothe`ques, Bibliothe´caires de donne´es, Base de donne´es--Gestion, dans les bibliothe`qu
Categories: LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Administration & Management, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & Design, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Collection Development, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Digital & Online Resources
Database: eBook Collection (EBSCOhost)
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  Data: Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining.As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the 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 will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, 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 use the lessons learned within.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.31202
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Data curation in libraries
        Type: general
      – SubjectFull: Data services librarians
        Type: general
      – SubjectFull: Database management in libraries
        Type: general
      – SubjectFull: Research--Data processing--Management
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Information science
        Type: general
      – SubjectFull: E´dition de contenu dans les bibliothe`ques
        Type: general
      – SubjectFull: Bibliothe´caires de donne´es
        Type: general
      – SubjectFull: Base de donne´es--Gestion, dans les bibliothe`qu
        Type: general
    Titles:
      – TitleFull: Practical Data Science for Information Professionals
        Type: main
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      – PersonEntity:
          Name:
            NameFull: David Stuart
      – PersonEntity:
          Name:
            NameFull: David Stuart
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 20
              M: 01
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781783303441
            – Type: isbn-print
              Value: 9781783303458
            – Type: isbn-electronic
              Value: 9781783303465
          Titles:
            – TitleFull: Practical Data Science for Information Professionals
              Type: main
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