best r classes in bangalore

Data Processing using R Programming

Learning to program is important if you’re serious about understanding data. There’s
no argument that data science must be performed on a computer, but you have a choice
between learning a graphical user interface (GUI) or a programming language.

Duration : 40 Hours

Fees : 23,000/-

Key Takeaways from this course:

In class Assignments

Practical training on tool

Case Studies

Master Classes

Alumni Support

Getting Started

This course covers the basics for a novice to getting started with R Software right form installation to the user interface, packages and help


  • Installing R and RStudio
  • R Packages
  • Updating R and Its Packages
  • The R User Interface
  • Objects
  • Functions
  • Sample with Replacement
  • The Function Constructor
  • Arguments
  • Scripts
  • Getting Help with Help Pages

Storing Data: R Objects

This topics will teach how R stores data, and how you can assemble—or disassemble—your own data sets. You will also learn about the various types of objects available for you to use in R. By doing this, you will become an expert on storing data in R.

  • Atomic Vectors
  • Attributes
  • Matrices
  • Arrays
  • Class
  • Coercion
  • Lists
  • Data Frames
  • Loading Data
  • Saving Data

R Notation System and Modifying Values

R has a notation system that lets you extract values from R objects. To extract a value or set of values from a data frame and changing values in place

  • Selecting Values
  • Choose a value form a list
  • Modifying values
  • Shuffle values
  • Dollar Signs and Double Brackets
  • Changing Values in Place
  • Logical Subsetting
  • Missing Information

R Environments

Covers how R stores R objects in an environment tree and gives the candidates a better understanding about the architecture.

  • Working with Environments
  • Scoping Rules
  • Assignment
  • Evaluation
  • Closures


The session will teach a candidate how to build a real program that works perfectly in R. Constructing real programs hands-on includes

  • Strategy
  • Conditional statements
  • Lookup Tables
  • Code Comments
  • Loops
  • Loading and Saving Data in R
  • Debugging R Code

The S3 System

Candidate learns about the S3 system that refers to a class system built into R and about the system governs how R handles objects of different classes

  • Generic Functions
  • Methods
  • Classes
  • S3 and Debugging
  • S4 and R5


This session will teach a specific way to write fast code in R. You can work with bigger data and do more ambitious tasks when your code runs fast.

  • Vectorized Code
  • Fast for Loops in R
  • Loops Versus Vectorized Code

Case Study

This course runs 100% Hands-On and candidates will be mentored to do a project by themselves and build the confidence to go their own.