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

by Bruce, Peter C.

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Title Statements

Full title :Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck.

Summary

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.

Edition Statements

Publication Date:©2020
Edition:Second edition

Publication Statements

Publisher(s):O'Reilly Media, Inc
Place of Publication:Sebastopol, CA
Language:eng
Publication Date:©2020

The Physical Object

Description:xvi, 342 pages : : illustrations ; : 24 cm

Edition Identifiers

ISBN:9781492072942, 149207294X
oclc:on1158315601
LC Classification:QA276.4
Dewey Decimal:001.4/22

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

Subjects

Analyse mathématique -- Méthodes statis… Mathematical analysis -- Statistical me… Python (Computer program language) Python (Langage de programmation) Quantitative research -- Statistical me… R (Computer program language) R (Langage de programmation) Recherche quantitative -- Méthodes stat… Statistics -- Data processing Statistique -- Informatique