Practical data science for information professionals /:
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. Data s...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London :
Facet,
2020.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. 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. Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject. Content covered includes: 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 may use; an analysis of the future of data science and the role of the information professional. 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. |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 14 Aug 2020). |
| Beschreibung: | 1 online resource (xvi, 183 pages) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 1783303468 9781783303465 |
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| 500 | |a Title from publisher's bibliographic system (viewed on 14 Aug 2020). | ||
| 520 | |a 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. 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. Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject. Content covered includes: 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 may use; an analysis of the future of data science and the role of the information professional. 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. | ||
| 505 | 0 | |a Intro -- Title page -- Contents -- Preface -- 1 What is data science? -- Data, information, knowledge, wisdom -- Data everywhere -- The data deserts -- Data science -- The potential of data science -- From research data services to data science in libraries -- Programming in libraries -- Programming in this book -- The structure of this book -- 2 Little data, big data -- Big data -- Data formats -- Standalone files -- Application programming interfaces -- Unstructured data -- Data sources -- Data licences -- 3 The process of data science -- Modelling the data science process | |
| 505 | 8 | |a Frame the problem -- Collect data -- Transform and clean data -- Analyse data -- Visualise and communicate data -- Frame a new problem -- 4 Tools for data analysis -- Finding tools -- Software for data science -- Programming for data science -- 5 Clustering and social network analysis -- Network graphs -- Graph terminology -- Network matrix -- Visualisation -- Network analysis -- 6 Predictions and forecasts -- Predictions and forecasts beyond data science -- Predictions in a world of (limited) data -- Predicting and forecasting for information professionals -- Statistical methodologies | |
| 505 | 8 | |a 7 Text analysis and mining -- Text analysis and mining, and information professionals -- Natural language processing -- Keywords and n-grams -- 8 The future of data science and information professionals -- Eight challenges to data science -- Ten steps to data science librarianship -- The final word: play -- References -- Appendix -- Programming concepts for data science -- Variables, data types and other classes -- Import libraries -- Functions and methods -- Loops and conditionals -- Final words of advice -- Further reading -- Index | |
| 588 | 0 | |a Online resource; title from PDF title page (Cambridge, viewed March 15, 2021). | |
| 504 | |a Includes bibliographical references and index. | ||
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| 650 | 0 | |a Data services librarians. |0 http://id.loc.gov/authorities/subjects/sh2018002071 | |
| 650 | 0 | |a Database management in libraries. |0 http://id.loc.gov/authorities/subjects/sh2016002478 | |
| 650 | 0 | |a Research |x Data processing |x Management. | |
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| 650 | 7 | |a Database management in libraries |2 fast | |
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| adam_text | |
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| author | Stuart, David (David Patrick) |
| author_GND | http://id.loc.gov/authorities/names/nb2011021410 |
| author_facet | Stuart, David (David Patrick) |
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| contents | Intro -- Title page -- Contents -- Preface -- 1 What is data science? -- Data, information, knowledge, wisdom -- Data everywhere -- The data deserts -- Data science -- The potential of data science -- From research data services to data science in libraries -- Programming in libraries -- Programming in this book -- The structure of this book -- 2 Little data, big data -- Big data -- Data formats -- Standalone files -- Application programming interfaces -- Unstructured data -- Data sources -- Data licences -- 3 The process of data science -- Modelling the data science process Frame the problem -- Collect data -- Transform and clean data -- Analyse data -- Visualise and communicate data -- Frame a new problem -- 4 Tools for data analysis -- Finding tools -- Software for data science -- Programming for data science -- 5 Clustering and social network analysis -- Network graphs -- Graph terminology -- Network matrix -- Visualisation -- Network analysis -- 6 Predictions and forecasts -- Predictions and forecasts beyond data science -- Predictions in a world of (limited) data -- Predicting and forecasting for information professionals -- Statistical methodologies 7 Text analysis and mining -- Text analysis and mining, and information professionals -- Natural language processing -- Keywords and n-grams -- 8 The future of data science and information professionals -- Eight challenges to data science -- Ten steps to data science librarianship -- The final word: play -- References -- Appendix -- Programming concepts for data science -- Variables, data types and other classes -- Import libraries -- Functions and methods -- Loops and conditionals -- Final words of advice -- Further reading -- Index |
| ctrlnum | (OCoLC)1226239227 |
| dewey-full | 005.74 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 005.7 |
| dewey-search | 005.74 005.7 |
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| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:30:09Z |
| institution | BVB |
| isbn | 1783303468 9781783303465 |
| language | English |
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| spelling | Stuart, David (David Patrick), author. http://id.loc.gov/authorities/names/nb2011021410 Practical data science for information professionals / David Stuart. London : Facet, 2020. 1 online resource (xvi, 183 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft Title from publisher's bibliographic system (viewed on 14 Aug 2020). 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. 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. Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject. Content covered includes: 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 may use; an analysis of the future of data science and the role of the information professional. 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. Intro -- Title page -- Contents -- Preface -- 1 What is data science? -- Data, information, knowledge, wisdom -- Data everywhere -- The data deserts -- Data science -- The potential of data science -- From research data services to data science in libraries -- Programming in libraries -- Programming in this book -- The structure of this book -- 2 Little data, big data -- Big data -- Data formats -- Standalone files -- Application programming interfaces -- Unstructured data -- Data sources -- Data licences -- 3 The process of data science -- Modelling the data science process Frame the problem -- Collect data -- Transform and clean data -- Analyse data -- Visualise and communicate data -- Frame a new problem -- 4 Tools for data analysis -- Finding tools -- Software for data science -- Programming for data science -- 5 Clustering and social network analysis -- Network graphs -- Graph terminology -- Network matrix -- Visualisation -- Network analysis -- 6 Predictions and forecasts -- Predictions and forecasts beyond data science -- Predictions in a world of (limited) data -- Predicting and forecasting for information professionals -- Statistical methodologies 7 Text analysis and mining -- Text analysis and mining, and information professionals -- Natural language processing -- Keywords and n-grams -- 8 The future of data science and information professionals -- Eight challenges to data science -- Ten steps to data science librarianship -- The final word: play -- References -- Appendix -- Programming concepts for data science -- Variables, data types and other classes -- Import libraries -- Functions and methods -- Loops and conditionals -- Final words of advice -- Further reading -- Index Online resource; title from PDF title page (Cambridge, viewed March 15, 2021). Includes bibliographical references and index. Data curation in libraries. http://id.loc.gov/authorities/subjects/sh2016002479 Data services librarians. http://id.loc.gov/authorities/subjects/sh2018002071 Database management in libraries. http://id.loc.gov/authorities/subjects/sh2016002478 Research Data processing Management. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Base de données Gestion, dans les bibliothèques. Data curation in libraries fast Data services librarians fast Database management in libraries fast Electronic book. has work: Practical data science for information professionals (Text) https://id.oclc.org/worldcat/entity/E39PCGY8M7XgdqpVC3xRWtptrq https://id.oclc.org/worldcat/ontology/hasWork Print version: 9781783303441 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1817136 Volltext |
| spellingShingle | Stuart, David (David Patrick) Practical data science for information professionals / Intro -- Title page -- Contents -- Preface -- 1 What is data science? -- Data, information, knowledge, wisdom -- Data everywhere -- The data deserts -- Data science -- The potential of data science -- From research data services to data science in libraries -- Programming in libraries -- Programming in this book -- The structure of this book -- 2 Little data, big data -- Big data -- Data formats -- Standalone files -- Application programming interfaces -- Unstructured data -- Data sources -- Data licences -- 3 The process of data science -- Modelling the data science process Frame the problem -- Collect data -- Transform and clean data -- Analyse data -- Visualise and communicate data -- Frame a new problem -- 4 Tools for data analysis -- Finding tools -- Software for data science -- Programming for data science -- 5 Clustering and social network analysis -- Network graphs -- Graph terminology -- Network matrix -- Visualisation -- Network analysis -- 6 Predictions and forecasts -- Predictions and forecasts beyond data science -- Predictions in a world of (limited) data -- Predicting and forecasting for information professionals -- Statistical methodologies 7 Text analysis and mining -- Text analysis and mining, and information professionals -- Natural language processing -- Keywords and n-grams -- 8 The future of data science and information professionals -- Eight challenges to data science -- Ten steps to data science librarianship -- The final word: play -- References -- Appendix -- Programming concepts for data science -- Variables, data types and other classes -- Import libraries -- Functions and methods -- Loops and conditionals -- Final words of advice -- Further reading -- Index Data curation in libraries. http://id.loc.gov/authorities/subjects/sh2016002479 Data services librarians. http://id.loc.gov/authorities/subjects/sh2018002071 Database management in libraries. http://id.loc.gov/authorities/subjects/sh2016002478 Research Data processing Management. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Base de données Gestion, dans les bibliothèques. Data curation in libraries fast Data services librarians fast Database management in libraries fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2016002479 http://id.loc.gov/authorities/subjects/sh2018002071 http://id.loc.gov/authorities/subjects/sh2016002478 |
| title | Practical data science for information professionals / |
| title_auth | Practical data science for information professionals / |
| title_exact_search | Practical data science for information professionals / |
| title_full | Practical data science for information professionals / David Stuart. |
| title_fullStr | Practical data science for information professionals / David Stuart. |
| title_full_unstemmed | Practical data science for information professionals / David Stuart. |
| title_short | Practical data science for information professionals / |
| title_sort | practical data science for information professionals |
| topic | Data curation in libraries. http://id.loc.gov/authorities/subjects/sh2016002479 Data services librarians. http://id.loc.gov/authorities/subjects/sh2018002071 Database management in libraries. http://id.loc.gov/authorities/subjects/sh2016002478 Research Data processing Management. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Base de données Gestion, dans les bibliothèques. Data curation in libraries fast Data services librarians fast Database management in libraries fast |
| topic_facet | Data curation in libraries. Data services librarians. Database management in libraries. Research Data processing Management. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Base de données Gestion, dans les bibliothèques. Data curation in libraries Data services librarians Database management in libraries Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1817136 |
| work_keys_str_mv | AT stuartdavid practicaldatascienceforinformationprofessionals |