R Programming Complete Certification Training [2021 Edition]

1. Fundamentals of R Language

• Introduction to R

• History of R

• Why R programming Language

• Comparison between R and Python

• Application of R

2. 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

3. 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

4. Input-Output Features in R

• scan() function

• readline() function

• paste() function

• paste0() function

• cat() function

• R Programs for implementing these functions in RStudio

5. Operators in R

• Arithmetic Operators

• Relational Operators

• Logical Operators

• Assignment Operators

• Miscellaneous Operators

• R Programs to perform various operations using operators in RStudio

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. Plotting in R (Part-I)

• Line graph

• Scatterplots

• Pie Charts

• 3D Pie Chart

16. Plotting in R (Part-II)

• Bar / line chart

• Histogram

• Box plot