Getting started with data science making sense of data with analytics
Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything is software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. She teaches a crucial ski...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston
IBM Press, Pearson
[2016]
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| Online-Zugang: | lizenzpflichtig |
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| spelling | Haider, Murtaza VerfasserIn aut Getting started with data science making sense of data with analytics Murtaza Haider Boston IBM Press, Pearson [2016] ©2016 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed January 5, 2016) Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything is software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. She teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you'll always know why you're doing what you're doing. You'll master data science by answering fascinating questions. For each problem, you'll walk through defining your question and the answers you'll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. -- Data mining Business enterprises Data processing Data Mining Exploration de données (Informatique) Entreprises ; Informatique Business enterprises ; Data processing TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9780133991246/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Haider, Murtaza Getting started with data science making sense of data with analytics Data mining Business enterprises Data processing Data Mining Exploration de données (Informatique) Entreprises ; Informatique Business enterprises ; Data processing |
| title | Getting started with data science making sense of data with analytics |
| title_auth | Getting started with data science making sense of data with analytics |
| title_exact_search | Getting started with data science making sense of data with analytics |
| title_full | Getting started with data science making sense of data with analytics Murtaza Haider |
| title_fullStr | Getting started with data science making sense of data with analytics Murtaza Haider |
| title_full_unstemmed | Getting started with data science making sense of data with analytics Murtaza Haider |
| title_short | Getting started with data science |
| title_sort | getting started with data science making sense of data with analytics |
| title_sub | making sense of data with analytics |
| topic | Data mining Business enterprises Data processing Data Mining Exploration de données (Informatique) Entreprises ; Informatique Business enterprises ; Data processing |
| topic_facet | Data mining Business enterprises Data processing Data Mining Exploration de données (Informatique) Entreprises ; Informatique Business enterprises ; Data processing |
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