R Programming
Get enrolled for the most in demand skill in the world. Build your skills in R to advance your career.
This course will assist you with learning R Programming without any preparation in a handy way, as an initial step to turn into a talented R Data Scientist. You don't need to know anything about R before beginning. Taking up this R Programming preparation will assist you with getting lucrative employment offered by huge organisations/companies.
R Programming
Fundamentals of R Language
Introduction to R
History of R
Why R programming Language
Comparison between R and Python
Application of R
Setup of R Language
Local Environment setup
-Installing R on Windows
-Installing R on Linux
RStudio
-What is Rstudio?
-Installation of Rstudio
First Program - Hello World
Variables and Data Types
Variables in R
Declaration of variable
Variable assignment
Finding variable
Data types in R
Data type conversion
R programs for Variables and Data types in Rstudio.
Input-Output Features in R
scan() function
readline() function
paste() function
paste0() function
cat() function
R Programs for implementing these functions in Rstudio
Operators in R
Arithmetic Operators
Relational Operators
Logical Operators
Assignment Operators
Miscellaneous Operators
R Programs to perform various operations using operators in Rstudio
Data Structure in R (part-I)
What is data structure?
Types of data structure
Vector
-What is a vector in R?
-Creating a vector
-Accessing element of vector
-Some more operations on vectors
-R Programs for vectors in Rstudio
Application of Vector in R
List
-What is a list in R?
-Creating a list
-Accessing element of list
-Modifying element of list
- Some more operations on list
- R Programs for list in Rstudio
Data Structure in R (part-II)
Matrix or Matrices
-What is matrix in R?
-Creating a matrix
-Accessing element of matrix
-Modifying element of matrix
-Matrix Operations
- R Programs for matrices in Rstudio
Application of Matrices in R
Arrays
-What are arrays in R?
-Creating an array
-Naming rows and columns
-Accessing element of an array
- Some more operations on arrays
- R Programs for arrays in Rstudio
Data Structure in R (part-III)
Data frame
-What is a data frame in R?
-Creating a data frame
-Accessing element of data frame
-Modifying element of data frame
-Add the new element or component in data frame
-Deleting element of data frame
- Some more operations on data frame
-R Programs for data frame in Rstudio
Factors
-Factors in R
-Creating a factor
-Accessing element of factor
-Modifying element of factor
- R Programs for factors in Rstudio
Application of Factors in R
Decision Making in R
Introduction to Decision making
Types of decision making statements
Introduction, syntax, flowchart and programs for
- if statement
- if…else statement
- if…else if…else statement
- switch statement
Loop control in R
Introduction to loops in R
Types of loops in R
- for loop
- while loop
- repeat loop
- nested loop
break and next statement in R
Introduction, syntax, flowchart and programs for
- for loop
- while loop
- repeat loop
- nested loop
Functions in R
Introduction to function in R
Built-in Function
User-defined Function
Creating a Function
Function Components
Calling a Function
Recursive Function
Various programs for functions in Rstudio
Strings in R
Introduction to string in R
- Rules to write R Strings
- Concatenate two or more strings in R
- Find length of String in R
- Extract Substring from a String in R
- Changing the case i.e. Upper to lower case and lower to upper case
Various programs for String in Rstudio
Packages in R
Introduction to Packages in R
Get the list of all the packages installed in Rstudio
Installation of the packages
How to use the packages in R
Useful R Packages for Data Science
R program for package in Rstudio
Data and file management in R
Getting and Setting the Working Directory
Input as CSV File
Analysing the CSV File
Writing into a CSV File
R programs to implement CSV file
You will get certification after the completion of this course
Get enrolled for the most in demand skill in the world. Build your skills in R to advance your career.
This course will assist you with learning R Programming without any preparation in a handy way, as an initial step to turn into a talented R Data Scientist. You don't need to know anything about R before beginning. Taking up this R Programming preparation will assist you with getting lucrative employment offered by huge organisations/companies.
R is considered amongst the most preferred analytics tools in the world, with around 2,000,000(two million) people who use this language in different projects. Today, millions of analysts, researchers, and brands such as Facebook, Google, Bing, Accenture, Wipro are using R to solve complex issues.