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Data science and big data analytics: discovering, analyzing, visualizing and presenting data
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technol...
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| Lenguaje: | eng |
| Publicado: |
Wiley
2014
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| Acceso en línea: | http://cds.cern.ch/record/1999955 |
| _version_ | 1780945944429199360 |
|---|---|
| author | EMC Education Services |
| author_facet | EMC Education Services |
| author_sort | EMC Education Services |
| collection | CERN |
| description | Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science teamDeploy a structured lifecycle approach to data analytics problemsApply appropriate analytic techniques and |
| id | cern-1999955 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Wiley |
| record_format | invenio |
| spelling | cern-19999552021-04-21T20:26:12Zhttp://cds.cern.ch/record/1999955engEMC Education ServicesData science and big data analytics: discovering, analyzing, visualizing and presenting dataComputing and ComputersData Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science teamDeploy a structured lifecycle approach to data analytics problemsApply appropriate analytic techniques andWileyoai:cds.cern.ch:19999552014 |
| spellingShingle | Computing and Computers EMC Education Services Data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| title | Data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| title_full | Data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| title_fullStr | Data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| title_full_unstemmed | Data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| title_short | Data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| title_sort | data science and big data analytics: discovering, analyzing, visualizing and presenting data |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/1999955 |
| work_keys_str_mv | AT emceducationservices datascienceandbigdataanalyticsdiscoveringanalyzingvisualizingandpresentingdata |