LEADER 03224nam 22004692 450 001 9910794106203321 005 20240102112704.0 010 $a9781783303465$beBook 010 $z9781783303458$bprint 035 $a(CKB)4100000011346943 035 $a(MiAaPQ)EBC6244431 035 $a(UkCbUP)CR9781783303465 035 $a(PPN)256349320 035 $a(EXLCZ)994100000011346943 100 $a20200729d2020|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical data science for information professionals /$fDavid Stuart$b[electronic resource] 210 1$aLondon :$cFacet,$d2020. 215 $a1 online resource (xvi, 183 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 14 Aug 2020). 327 $aWhat is data science? -- Little data, big data -- The process of data science -- Tools for data analysis -- Clustering and social network analysis -- Predictions and forecasts -- Text analysis and mining -- The future of data science and information professionals -- Appendix-Programming concepts for data science. 330 $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.

    606 $aDatabase management in libraries 606 $aData curation in libraries 606 $aData services librarians 606 $aResearch$xData processing$xManagement 615 0$aDatabase management in libraries. 615 0$aData curation in libraries. 615 0$aData services librarians. 615 0$aResearch$xData processing$xManagement. 676 $a005.74 700 $aStuart$b David$0620170 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910794106203321 996 $aPractical data science for information professionals$93817795 997 $aUNINA