Statistical Inference via Data Science: A ModernDive into R and the Tidyverse Contributor(s): Ismay, Chester (Author), Kim, Albert Y. (Author) |
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ISBN: 0367409879 ISBN-13: 9780367409876 Publisher: CRC Press OUR PRICE: $218.50 Product Type: Hardcover - Other Formats Published: December 2019 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Regression Analysis - Business & Economics | Statistics - Computers | Data Processing |
Dewey: 519.54 |
LCCN: 2019042572 |
Series: Chapman & Hall/CRC the R |
Physical Information: 1" H x 7" W x 10" (2.23 lbs) 430 pages |
Descriptions, Reviews, Etc. |
Publisher 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: 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. |