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Practical statistics for data scientists :50+ essential concepts using R and Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Practical statistics for data scientists :Peter Bruce, Andrew Bruce, and Peter Gedeck.
Reminder of title:	50+ essential concepts using R and Python /
Author:	Bruce, Peter C.,
other author:	Bruce, Andrew,
Description:	xvi, 342 pages :illustrations ;24 cm
Subject:	Mathematical analysisStatistical methods.
ISBN:	9781492072942

Practical statistics for data scientists :50+ essential concepts using R and Python /
Bruce, Peter C.,1953-

Practical statistics for data scientists :50+ essential concepts using R and Python /Peter Bruce, Andrew Bruce, and Peter Gedeck. - Second edition. - xvi, 342 pages :illustrations ;24 cm

Includes bibliographical references (pages 327-328) and index.

Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning.

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 analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning.

ISBN: 9781492072942

LCCN: 2018420845

Nat. Bib. No.: GBC061788bnb

Nat. Bib. Agency Control No.: 019800669UkSubjects--Topical Terms:

919072
Mathematical analysis
--Statistical methods.

LC Class. No.: QA276.4 / .B783 2020

Dewey Class. No.: 001.4/22

Practical statistics for data scientists :50+ essential concepts using R and Python /
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