R Programming Tutorial

R Programming Tutorial

It is one of the important Business Analytic tools that can use for each and every organization. It is a programming language and it is a free software environment used for the business analysis with visualization. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand. The R software widely used by the data scientist, business analyst, and business intelligence. It is used by major corporations like Facebook, Airbnb, Google used for analysis. Through the analysis, we can make better solutions for business growth. it is made up of the collection of libraries specially designed for the analysis. It is very easy to install and nowadays we are using R –studio created by John Chambers.

Reasons to Learn R Programming

• If you need an improvement in your business usage of R software is very essential to achieve a goal.
• It performs a wide variety of functions such as data manipulation, data visualization, and statistical modeling.
• R is a low-level programming language very easy to learn because it makes harder things to easy.
• It provides quality plotting and graphing for data.
• It is platform-independent and it is used for machine learning purposes.
• It has continuous growth.

Applications of R programming Software

It has a wide range of applications in various fields. Here I am introducing some major applications that are Finance, Banking, Healthcare, Social media, E-commerce and manufacturing field.
Finance: Data science that is widely used in the financial industry for the analysis, risk management and visualizations
Banking: It is used for risk analysis, customer quality, customer segmentation, and retention.
Healthcare: It has heavy usage of R the fields are Genetics, Bioinformatics, Drug Discovery, and Epidemiology
Social Media: It is used for the analysis of segmenting potential customers and targeting them for selling your products.
Manufacturing: Most of the manufacturing companies use this software to find out the customer sentiment, customer interests.
E-Commerce: It is one of the most important sectors of data science that can be used with R software. Because the e-commerce company deals with the various forms of the data that are structured and unstructured data varying from data sources like spreadsheets, databases. It helps for analyzing the cross-selling products to their customers. We can suggest additional products for the customers. This type of analysis and recommendations can find out by R. For example if we are owning an e-commerce website for your business. In that you can get various forms of data from different sources if you are using R software for the analysis it helps us to find out suggestions and recommendations it will help us to achieve our business goal.

Pre-requisites

As a student, professional and reader you should have some basic computer knowledge and programming knowledge this will help you to learn quickly.

Target Audience

Basically, R is very useful and we can learn quickly and it is specially designed for the analysis, statistical analysis, and visualizations. It can be used by data scientists, business analysts, and business intelligence analysts. Through the analysis, it helps for the business growth of the organization in various filed it helps to find out future trends in our business.