March 2018
Beginner to intermediate
570 pages
13h 42m
English
Overview
"Data Analysis with R, Second Edition" is your ultimate guide to mastering data analysis in R, encompassing everything from foundational concepts to advanced techniques. You will learn to manipulate, analyze, and visualize data effectively, applying cutting-edge R packages like ggplot2 and dplyr. Through rich examples, this comprehensive book thoroughly prepares you to tackle real-world analytical challenges.
What this Book will help me do
- Understand foundational statistical reasoning and sampling methods.
- Perform hypothesis testing and apply Bayesian methods to data analysis.
- Build and evaluate regression, classification, and time series models.
- Handle messy and missing data using advanced R techniques and methods.
- Optimize performance through parallel processing, Rcpp, and efficient data manipulation.
Author(s)
Chris Burnett is an experienced data analyst with over 15 years of expertise harnessing R for insights. A passionate advocate for accessible computing, Chris integrates practical exercises and rich examples to demystify complex analytical techniques. Their experience and dedication shine in this approachable yet detailed guide.
Who is it for?
This book is ideal for budding and professional data analysts or data scientists who wish to deepen their expertise in R. It suits learners with a basic understanding of R who aim to extend their proficiency in applied data analysis. The guide provides significant value for professionals aiming to implement effective analytical models. Readers seeking to grow within the analytics sector will find this resource indispensable.
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