"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"--
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"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"--
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics…
"Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your dat…
Microsoft Excel offers numerous possibilities for statistical analysis--and you don't have to be a math wizard to unlock them. In Statistical Analysis with Excel For Dummies, fully updated for the 2021 version of Excel, you'll hit the ground running with straightforward techniqu…
A review of third-variable effect inferences -- Advanced statistical modeling and machine learning methods used in the book -- The general third-variable effect analysis method -- The implementation of general third-variable effect analysis method -- Assumptions for the general …
"Third-variable effect refers to the intervening effect of a third-variable on the observed relationship between an exposure and an outcome. The third-variable effect analysis differentiates the effect from multiple third variables that explain the established exposure-outcome r…
"Third-variable effect refers to the intervening effect of a third-variable on the observed relationship between an exposure and an outcome. The third-variable effect analysis differentiates the effect from multiple third variables that explain the established exposure-outcome r…
This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the …
"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 g…
"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 g…
A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition is fully updated to R 3.6 and features newer and bet…
This book provides a comprehensive introduction to probability with an emphasis on computing-related applications. --
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python…