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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse Paperback - 2019
by Chester Ismay; Albert Y. Kim
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- Title Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
- Author Chester Ismay; Albert Y. Kim
- Binding Paperback
- Pages 430
- Volumes 1
- Language ENG
- Publisher CRC Press
- Date 2019-12-13
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9780367409821 / 0367409828
- Weight 1.75 lbs (0.79 kg)
- Dimensions 10 x 7 x 0.93 in (25.40 x 17.78 x 2.36 cm)
- Library of Congress subjects Statistics - Data processing, R (Computer program language)
- Library of Congress Catalog Number 2019042572
- Dewey Decimal Code 519.54
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
by Chester Ismay
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Paperback / softback. New. 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…
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
by Chester (DataCamp) Ismay,Albert Y. Kim
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Paperback / softback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This is a modern textbook in statistical inference, using the principles of data science through R and the Tidyverse. It assumes minimal background knowledge of the reader: there is no algebra, no calculus, and no prior programming/codi
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Statistical Inference Via Data Science: A Moderndive into R and the Tidyverse
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)
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Statistical Inference Via Data Science: A Moderndive into R and the Tidyverse
by Ismay, Chester/ Kim, Albert Y.
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