Handbook of statistical analysis and data mining applications pdf

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handbook of statistical analysis and data mining applications pdf

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Second Edition. A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline. Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data Wiley, Don't simply show your data—tell a story with it!
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Published 06.01.2019

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Data analysis

Nisbet , G. Miner , and K. Yale Eds. Academic Press , London, 2 edition, BibSonomy The blue social bookmark and publication sharing system.

Description

Data analysis is a process of inspecting, cleansing , transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses.

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