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Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

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Description: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 experienceMotivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.comCenters on simulation-based approaches to statistical inference rather than mathematical formulasUses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methodsProvides all code and output embedded directly in the text; also available in the online version at moderndive.comThis 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. Chester Ismay is a Data Science Evangelist for DataRobot and is based in Portland, Oregon, USA. Albert Y. Kim is an Assistant Professor of Statistical and Data Sciences at Smith College in Northampton, Massachusetts, USA.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse. To get started finding Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 1000763463

Description: 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 experienceMotivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.comCenters on simulation-based approaches to statistical inference rather than mathematical formulasUses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methodsProvides all code and output embedded directly in the text; also available in the online version at moderndive.comThis 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. Chester Ismay is a Data Science Evangelist for DataRobot and is based in Portland, Oregon, USA. Albert Y. Kim is an Assistant Professor of Statistical and Data Sciences at Smith College in Northampton, Massachusetts, USA.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse. To get started finding Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

Statistical Inference Via Data Science: A Moderndive Into R and the Tidyverse

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