Practical statistics for data scientists : 50 essential concepts
By: Bruce, Peter.
Contributor(s): Bruce, Andrew.
Material type:
BookPublisher: Beijing : O'Reilly, 2017Description: xvi, 298p. : ill. ; 23.5 cm.ISBN: 9789352135653.Subject(s): Statistics | Quantitative research | Mathematical analysis | Quantitative research | Statistical methods | Big data | Mathematics | Big data | Data MiningDDC classification: 001.422 Summary: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 001.422 BRU (Browse shelf) | Available | 031768 |
Includes bibliographical references and index.
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
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