---
title: "R programming: 3 best books you need"
description: "Best R programming books I have given for your quick reference."
url: https://srinimf.com/2017/07/16/3-best-r-language-books-analytics/
date: 2017-07-16
modified: 2026-10-10
author: "Srini"
image: https://i0.wp.com/srinimf.com/wp-content/uploads/2017/07/best-books-on-r-language.jpg?fit=1200%2C900&ssl=1
categories: ["Data Science"]
tags: ["Best R books", "My best Books", "R Language examples"]
type: post
lang: en
---

# R programming: 3 best books you need

R is the main language extensively used [in Data](https://srinimf.com/2017/02/12/top-python-benefits-really-better-option-for-analytics/) Science. The below are three useful [books to](https://srinimf.com/2012/06/14/1618/) read now.

## **1. Beginning R: The Statistical Programming Language **

This book is about data analysis and the programming language called R. This is rapidly becoming the de-facto standard amongst professionals and is used in every conceivable discipline from science and medicine to business and engineering.

**[This book](http://amzn.to/2vqKl0L)** delves into the language of R and makes it accessible using simple data examples to explore its power and versatility.

## **2. Advanced Analytics**

**R-Language is for advanced analytics**. Using the free, open source **[R language](http://amzn.to/2uo0Ei5)**, scientists, financial analysts, public policy professionals and programmers can build powerful statistical models capable of answering many of their most challenging questions.

But, for non-statisticians, R can be difficult [to learn](https://srinimf.com/2017/06/08/data-scientist-course-at-best-affordable-price/)-and most books on the subject assume far too much knowledge to help the non-statistician.

## **3. How to use R Programming with Tableau**

Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau.

**Also read: [Awesome Quiz on VBScript](https://srinimf.com/2015/11/01/vbscript-quiz/)**

Together, Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.

Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with [**R** and Tableau.](http://amzn.to/2vr9UyK)

In order to maximize learning, hands-on “*examples”* will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.

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