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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Brand
CRC Press
ISBN
9780367409876
Publication Name
Statistical Inference Via Data Science: a Moderndive Into R and the Tidyverse
Publisher
Taylor & Francis LTD
Subject
Mathematics
Publication Year
2019
Series
Chapman & Hall/Crc: the R Series
Type
Textbook
Format
Hardcover
Language
English
Item Height
254 mm
Author
Chester Ismay, Albert Y. Kim
Item Weight
957 g
Item Width
178 mm
Number of Pages
430 Pages

About this product

Product Information

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: Assumes minimal prerequisites, notably, no prior calculus nor coding experience Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com Centers on simulation-based approaches to statistical inference rather than mathematical formulas Uses the infer package for tidy and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Product Identifiers

Publisher
Taylor & Francis LTD
ISBN-13
9780367409876
eBay Product ID (ePID)
17046573882

Product Key Features

Number of Pages
430 Pages
Publication Name
Statistical Inference Via Data Science: a Moderndive Into R and the Tidyverse
Language
English
Subject
Mathematics
Publication Year
2019
Type
Textbook
Author
Chester Ismay, Albert Y. Kim
Series
Chapman & Hall/Crc: the R Series
Format
Hardcover

Dimensions

Item Height
254 mm
Item Weight
957 g
Item Width
178 mm

Additional Product Features

Country/Region of Manufacture
United Kingdom
Title_Author
Chester Ismay, Albert Y. Kim

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