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What is the Best R Book 2020?

R is an open source programming language and software environment used by people for statistical computing and graphics. R was created in 1992 and is supported by the R Foundation for Statistical Computing. R is widely used among statisticians and data miners for data analysis. 

Best R courses & tutorials 2020

R Programming A-Z: R For Data Science With Real Exercises!

R Programming A-Z™: R For Data Science With Real Exercises! by Kirill Eremenko will get you to learn R like a professional. This R programming language tutorial will teach using R by doing. It assumes no programming or statistical background. This R course is step-by-step and helps you learn with live R examples. You will learn R Studio. You will practice working with a lot of working with statistical data, financial data and sports data in R. This is probably the best R programming language tutorials in 2020.

Data Science and Machine Learning Bootcamp with R

Data Science and Machine Learning Bootcamp with R by Jose Portilla will teach you how to use the R programming language for data science, machine learning, and data visualization. You will start with by learning how to install R like Data Analysts. This R programming language tutorial is a comprehensive course that is almost 18 hours in length. It covers everything R programming related. You will learn R to handle csv, excel, SQL files or web scraping. This R programming course will teach you how to use R for Data Science and Data Analysis. This R video course will help you learn Machine Learning. Some of the Machine Learning topics you will learn include Linear Regression, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, etc. if you wish to join Data scientists in learning R, this is it. This is one of the best R and Data Science tutorials in 2020.

 

R Programming Hands-on Specialization for Data Science (Lv1)

R Programming Hands-on Specialization for Data Science (Lv1) by Irfan Elahi is an in-depth course on R language with real-world Data Science examples. This R Programming language tutorial will start from the very basics of introducing Data Science and the importance of R. You will start from setting up R development environment, R Data types, Data Structures (the building blocks of R scripts), Control Structures and Functions. This R programming language courses will teach you how to work on Data Science Projects and Application development. You will use web technologies like HTML, Document Object Model, XPath and RSelenium in the context of web scraping to take your data analysis skills to the next level.  This R data Science tutorial will get you learning R for everything you need to apply for Data Science jobs that make more money.

R Programming: Advanced Analytics In R For Data Science

R Programming: Advanced Analytics In R For Data Science by Kirill Eremenko will take your R & R studio skills to the next level. You require basic knowledge of R before taking this advanced R tutorial. This R programming language projects will learn data analytics, data science, statistical analysis in business, ggplot2, etc. You will learn how to perform data preparation in R. This R programming courses will teach you how to perform the median imputation method in R. You will learn R Apply family of functions. This advanced R programming tutorial will teach you what lists are and how to use them. You will even learn how to work with date-times in R. This is the best advanced R programming language tutorial in 2020 for those that want to learn R.

Cluster Analysis- Theory & workout using SAS and R

Cluster Analysis- Theory & workout using SAS and R by Gopal Prasad Malakar will teach you cluster analysis with SAS & R. You require basic knowledge of R, SAS and statistics. This Cluster Analysis with R tutorial will teach you all about the different type of cluster analysis. These include Hierarchical clustering and Non-hierarchical clustering (K means clustering). This R Cluster Analysis tutorial will teach you to learn R syntax for hierarchical and non hierarchical clustering. You will know the theory, business application, sas program and interpretation of output. This is the best R Cluster Analysis tutorial in 2020.

Best R books 2020

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
  • O Reilly Media
  • Wickham, Hadley (Author)
  • English (Publication Language)
  • 520 Pages - 01/10/2017 (Publication Date) - O'Reilly Media (Publisher)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham and Garrett Grolemund will get you to learn R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you to learn data science like data scientists as quickly as possible in no time at all. Also, this is probably the best R programming language book in 2020.

R in Action: Data Analysis and Graphics with R

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R in Action: Data Analysis and Graphics with R
  • Manning Publications
  • English (Publication Language)
  • Manning Publications (Publisher)

R in Action: Data Analysis and Graphics with R by Robert Kabacoff presents both the R language and the examples that are so useful for good business developers. Focusing on practical solutions, the book offers a crash course to learn statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You’ll also learn R’s extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.

The Art of R Programming: A Tour of Statistical Software Design

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The Art of R Programming: A Tour of Statistical Software Design
  • No Starch Press
  • English (Publication Language)
  • No Starch Press (Publisher)

The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff will take you on a guided tour of software development with R, first from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. This R programming book will make you learn graphs to visualize complex data sets and functions in no times. You will write more efficient code using parallel R and vectorization. This R book will help you learn how to interface R with C/C++ and Python for increased speed and functionality.

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

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R Cookbook (O'Reilly Cookbooks)
  • O'Reilly Media
  • English (Publication Language)
  • O'Reilly Media (Publisher)

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics by Paul Teetor perform data analysis with R quickly and efficiently. Learn R with a collection of simple, concise, task-oriented recipes makes you productive with R immediately in the world. The solutions available choose from one basic task to input and output, general statistics, graphics, and linear regression. R Cookbook will help beginners learn to get started and make advanced developers learn better.

Advanced R

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Advanced R (Chapman & Hall/CRC The R Series)
  • CRC Press
  • English (Publication Language)
  • Routledge (Publisher)

Advanced R by Hadley Wickham presents useful tools and techniques for attacking many types of R programming problems. Learn Advanced R programming to develop the many necessary skills to produce quality code that can be used in a great variety of circumstances. You will learn the fundamentals of R, including standard data types and functions. This R book not learn R programming, it is also great for beginners wishing to learn R. Intermediate R programmers can dive deeper into R and learn new strategies for solving problems. This is likely the best Advanced R book in 2020.