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Statistical Inference Via Data Science: A ModernDive into R and the Tidyverse
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N.º de artículo de eBay:126139260593
Última actualización el 28 jul 2024 14:02:30 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- Statistical Inference Via Data Science : A ModernDive into R and
- Country/Region of Manufacture
- United States
- ISBN
- 9780367409821
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Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0367409828
ISBN-13
9780367409821
eBay Product ID (ePID)
24038288109
Product Key Features
Number of Pages
430 Pages
Publication Name
Statistical Inference Via Data Science : a Moderndive Into Rand the Tidyverse
Language
English
Publication Year
2019
Subject
Probability & Statistics / General, Probability & Statistics / Regression Analysis
Type
Textbook
Subject Area
Mathematics
Series
Chapman and Hall/Crc the R Ser.
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
30 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
College Audience
LCCN
2019-042572
Reviews
"Through apt use of analogies, hands-on exercises, and abundant opportunities to get coding, this book delivers on its promise to give a reader without a background in statistics or programming the tools necessary for understanding and conducting real-world statistical inference and data analysis. With an emphasis on learning new concepts first "by hand," before turning to the code, it would make a particularly useful classroom companion. However, the "learning checks" provided throughout also make it a great guide for self-study. Students and teachers alike will benefit from this thoughtful introduction, as it addresses even the smallest of details that can trip beginners up, and keep them from getting to the more fruitful parts of data analysis." - Mara Averick, Developer Advocate, RStudio, Inc. "This is a comprehensive, modern resource for teaching and learning data science. ModernDive couples the introduction of core statistical concepts directly with learning how to apply data science methods to realistic data sets using the R programming language. The pedagogical approach of ModernDive is thoughtful and highly effective. The text engages learners early with tangible and practical concepts, such as creating data visualizations, that enable students to see early returns on their investment in learning R. The authors have created a guide to learning data science that increases students' engagement and enthusiasm, while simultaneously providing students with the depth of understanding needed to conduct meaningful and reproducible data analyses. ModernDive is my go-to resource for teaching data science. I use it in all of my courses and workshops and I have found it to be the most effective and comprehensive introduction to data science in R available." - Rich Majerus, Queens University of Charlotte
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.54
Table Of Content
Preface 1 Getting Started with Data in R I Data Science via the tidyverse 2 Data Visualization 3 Data Wrangling 4 Data Importing & "Tidy" Data II Data Modeling via moderndive 5 Basic Regression 6 Multiple Regression III Statistical Inference via infer 7 Sampling 8 Bootstrapping & Confidence Intervals 9 Hypothesis Testing 10 Inference for Regression 11 Tell the Story with Data Appendix A Statistical Background B Information about R packages Used Bibliography Index
Synopsis
Singh, Vaishali Singh, Vaishali 2 2 2019-11-20T05:22:00Z 2019-11-20T05:22:00Z 1 256 1463 12 3 1716 16.00 True 2567d566-604c-408a-8a60-55d0dc9d9d6b Vaishali.Singh@informa.com 2019-11-20T05:19:19.1862213Z General Microsoft Azure Information Protection 720dcbfa-8bec-4301-b38e-b8829e58b2ec Automatic True 2567d566-604c-408a-8a60-55d0dc9d9d6b Vaishali.Singh@informa.com 2019-11-20T05:19:19.1862213Z Un-restricted Microsoft Azure Information Protection 720dcbfa-8bec-4301-b38e-b8829e58b2ec 181c070e-054b-4d1c-ba4c-fc70b099192e Automatic General Un-restricted false false false false EN-US X-NONE X-NONE, 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.
LC Classification Number
QA276.45.R3I86 2019
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