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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
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse - A ModernDive into R and the Tidyverse (Hardcover)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 12 - 17 working days
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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.
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