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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse - A ModernDive into R and the Tidyverse (Hardcover) Loot Price: R5,036
Discovery Miles 50 360
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse - A ModernDive into R and the Tidyverse...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse - A ModernDive into R and the Tidyverse (Hardcover)

Michael Clifford

Series: Chapman & Hall/CRC The R Series

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Loot Price R5,036 Discovery Miles 50 360 | Repayment Terms: R472 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC The R Series
Release date: December 2019
First published: 2020
Editors: Michael Clifford
Dimensions: 254 x 178 x 30mm (L x W x T)
Format: Hardcover
Pages: 430
ISBN-13: 978-0-367-40987-6
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Professional & Technical > Energy technology & engineering > Heat transfer processes
Books > Professional & Technical > Environmental engineering & technology > General
Books > Professional & Technical > Technology: general issues > Technical design > General
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
LSN: 0-367-40987-9
Barcode: 9780367409876

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