Course Details!


This course is designed to provide a complete knowledge of R language, R is a programming language and free software, R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few, R allows integration with the procedures written in the C, C++, .Net, Python or FORTRAN languages for efficiency.

What Will I Learn?

  • The basics of statistical computing and data analysis.
  • How to use R for analytical programming.
  • How to implement data structure in R.
  • R loop functions and debugging tools.
  • Object-oriented programming concepts in R.
  • Data visualization in R.
  • How to perform error handling.
  • Writing custom R functions.
  • Install, Code and Use R Programming Language in R Studio IDE to perform basic tasks on Vectors, Matrices and Data frames.
  • Describe key terminologies, concepts and techniques employed in Statistical Analysis.
  • Define, Calculate, Implement Probability and Probability Distributions to solve a wide variety of problems.
  • Conduct and interpret a variety of Hypothesis Tests to aid Decision Making.
  • Understand, Analyze, Interpret Correlation and Regression to analyze the underlying relationships between different variables.


  • Certificate Of Attendance From IT-Gate Academy

Introduction to programming, Fundamentals of R language.

  • Overview Of R Programming language.

R Basic Syntax

  • Describes the basics in how the applications you write will be interpreted.


  • Comments are like helping text in your R program and they are ignored by the compiler.

R Variables

  • The entities used to store data of various shapes.

R Simple Types

  • in the R programming language, data types refer to an extensive system used for declaring variables or functions of different types, The types in R can be classified a Basic Types, Enumerated types, The type void, Derived types.

R Operators

  • An operator is a symbol that tells the compiler to perform specific mathematical or logical manipulations, R language is rich in built-in operators and provides the following types of operators: Arithmetic Operators, Relational Operators, Logical Operators, Bitwise Operators , Assignment Operators, Misc. Operators.
  • this tutorial will explain the arithmetic, relational, logical, bitwise, assignment and other operators one by one.

Control flow

  • An if statement & Switch are expressions used to control the execution and flow of the program based on the conditions provided in the statements.

Control statements

  • Loops, conditions, and more. How the program flow is controlled.


  • An array is used to store a collection of data.


  • actually, a one-dimensional array of characters which is terminated by a null character '\0'.


  • Responding to errors that can occur.


  • is a group of statements that together perform a task.


  • arrays allow you to define type of variables that can hold several data items of the same kind but structure is another user defined data type available in R programming, which allows you to combine data items of different kinds

File I/O

  • we will see how R programmers can create, open, close text or binary files for their data storage.

Object Oriented Programming (OOP).

  • Classes [A class is an expanded concept of a data structure: instead of holding only data, it can hold both data and functions].
  • Objects [An object is an instantiation of a class. In terms of variables, a class would be the type, and an object would be the variable].
  • Constructors and destructors [Objects generally need to initialize variables or assign dynamic memory during their process of creation to become operative and to avoid returning unexpected values during their execution].

Object Oriented Programming (OOP) Concepts.

  • Friendship and inheritance.
  • Polymorphism.
  • Abstract base classes.
  • Encapsulation.