R programming: 3 best books you need

R is the main language extensively used in Data Science. The below are three useful books to 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 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, 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-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.

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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.

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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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.