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Statistics for Data Science
book

Statistics for Data Science

by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
November 2017
Beginner
286 pages
8h 13m
English
Packt Publishing
Content preview from Statistics for Data Science

Data models

You will find that statistical data models are at the heart of statistical analytics.

In the simplest terms, a statistical data model is defined as the following:

A representation of a state, process, or system that we want to understand and reason about

In the scope of the previous definition, the data or database developer might agree that in theory or in concept, one could use the same terms to define a financial reporting database, as it is designed to contain business transactions and is arranged in data structures that allow business analysts to efficiently review the data, so that they can understand or reason about particular interests they may have concerning the business.

Data scientists develop statistical data models ...

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Publisher Resources

ISBN: 9781788290678