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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

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Description:Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide--now including examples in Python as well as R--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.Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format.With this updated edition, you'll dive into:Exploratory data analysisData and sampling distributionsStatistical experiments and significance testingRegression and predictionClassificationStatistical machine learningUnsupervised learningWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python. To get started finding Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 149207294X

Description: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide--now including examples in Python as well as R--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.Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format.With this updated edition, you'll dive into:Exploratory data analysisData and sampling distributionsStatistical experiments and significance testingRegression and predictionClassificationStatistical machine learningUnsupervised learningWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python. To get started finding Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

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