Statistical Inference Via Data Science - Info and Reading Options
a ModernDive into R and the Tidyverse
By Chester Ismay and Albert Y. Kim
"Statistical Inference Via Data Science" was published by Taylor & Francis Group in 2019 - Boca Raton, it has 430 pages and the language of the book is English.
“Statistical Inference Via Data Science” Metadata:
- Title: ➤ Statistical Inference Via Data Science
- Authors: Chester IsmayAlbert Y. Kim
- Language: English
- Number of Pages: 430
- Publisher: Taylor & Francis Group
- Publish Date: 2019
- Publish Location: Boca Raton
“Statistical Inference Via Data Science” Subjects and Themes:
- Subjects: Statistics - Data processing - Quantitative research - R (Computer program language)
Edition Identifiers:
- The Open Library ID: OL33761382M - OL25219663W
- ISBN-13: 9780367409913
- All ISBNs: 9780367409913
AI-generated Review of “Statistical Inference Via Data Science”:
"Statistical Inference Via Data Science" Description:
Open Data:
"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"--
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