Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data
This is a book about harnessing the power of data for new insights and 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 learn...
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| Autres auteurs: | , |
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| Format: | Livre |
| Langue: | anglais |
| Publié: |
New Delhi
Wiley India Pvt. Ltd.
2017
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| 245 | |a Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data | ||
| 260 | |a New Delhi |b Wiley India Pvt. Ltd. |c 2017 | ||
| 300 | |a xviii, 410 p. | ||
| 520 | |a This is a book about harnessing the power of data for new insights and 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. It will help you become a contributor on a data science team; deploy a structured lifecycle approach to data analytics problems; apply appropriate analytic techniques and tools to analyzing big data; learn how to tell a compelling story with data to drive business action; prepare for EMC Proven Professional data science certification | ||
| 650 | |a Data Mining |9 583 | ||
| 650 | |a Big Data |9 38 | ||
| 650 | |a Quantitative Research |9 1570 | ||
| 700 | |a Dietrich, David |9 1571 | ||
| 700 | |a EMC Education Services |9 1572 | ||