# R Programming for Beginners

R Programming course for newbies. R installation, data types, statements, functions, conditions, packages, data frames.

## What you’ll learn

- End-to-end knowledge on R programming language
- Become an R Programmer from scratch
- R Introduction & Installation
- R Data Structures
- R Data Types, R Packages
- Build a Calculator using R
- Condition Statements, Looping, Repeat Statements in R
- Sum of N natural numbers, Sum Recursion
- Switch Statement, Functions, Factors in R
- Data Preprocessing and Dataframes in R
- Data Reshaping
- R Math built-in Functions
- Melting and Casting in R

## This course includes:

- 8.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion

## Requirements

- Enthusiasm and determination to make your mark on the world!

## Description

**R** is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which is used to analyze numerical data and graphical representation. R lets us to do sectional programming using functions. R programming language was named R, founded on the first name letter of the two authors – Robert Gentleman and Ross Ihaka. An overall understanding of R should cover topics such as introduction, features, installation, rstudio ide, variables, datatypes, operators, if statement, vector, data handing, graphics, statistical modelling, etc. R not only allows us to do branching and looping but also allows to do modular programming using functions. R allows integration with the procedures written in the C, C++, .Net, Python, and FORTRAN languages to improve efficiency.

R is one of the most significant instrument which is used by investigators, data analyst, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data. R is available for Linux, MacOS, and Windows. R’s binary and logical operators will look very acquainted to programmers. R can be used to compute a large variety of classical statistic tests. With R, it’s also possible to perform classification analysis such as Principal component analysis and clustering. Many types of graphs can be drawn using R, including, box plot, histogram, density curve, scatter plot, line plot, bar plot, etc.

**Uplatz **provides this extensive course on **R Programming for Beginners**.

**R Programming for Beginners – Course Syllabus**

- Introduction to R Language
- R Installation
- R Data Structures
- R Data Types
- R Packages
- Simple Calculator using R
- R as a Calculator
- Condition Statements in R
- Looping in R
- Repeat Statement in R
- Sum of N Natural Numbers
- Sum Recursion
- Switch Statement in R
- Data Pre-processing
- Functions in R
- Factors in R
- Data frames in R
- Data Reshaping
- R Math built-in Functions
- Melting and Casting in R

## Who this course is for:

- Beginners and newbies in Programming (R, Python)
- Anyone aspiring for a career as Software Developer / Programmer
- R & Python Programmers
- Data Scientists – Python/R Programming
- Data Analysts and Data Visualization Developers
- Technical Consultants
- Data Engineers – R, Big Data
- R Developers
- Application Developers
- Software Consultants
- Machine Learning Engineers – R, Python
- Data Science Engineers
- Software Engineers & Developers
- Analytics Professionals
- Statisticians and Researchers

## How can learn this Course?

1.Create Account / Login on Udemy.com

2. Learn Course by Enroll in this Course