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              Books by Albert Y. Kim

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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 (Paperback)

              By Ismay, Chester; Kim, Albert Y.

              • RRP: $131.00
              • $131.00
              • Pub Date
                3 Jan 20

              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 ggp...lot2 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. 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.
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              ISBN 9780367409821
              Released AU 3 Jan 2020
              Publisher Taylor & Francis Ltd
              Interest Age 19+ years
              Series Chapman & Hall/CRC: The R Series
              Availability
              Available for pre-order, ships once released
              View details for this title
              Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
               

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

              By Ismay, Chester; Kim, Albert Y.

              • RRP: $326.00
              • $326.00
              • Pub Date
                3 Jan 20

              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 ggp...lot2 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. 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.
              Read more

              ISBN 9780367409876
              Released AU 3 Jan 2020
              Publisher Taylor & Francis Ltd
              Interest Age 19+ years
              Series Chapman & Hall/CRC: The R Series
              Availability
              Available for pre-order, ships once released
              View details for this title
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