Business Analytics

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R Language Training Overview

R programming language is one the most powerful tool for computational statistics, visualization and data science. Data scientists and statisticians use R for solving many complex problems in their industry. R is extensively used in companies like Bing, Google, Facebook, Twitter and Uber. As R is used in various domains like Social media companies, Banks, Insurance companies, Car manufacturers, R is one of the most sought data analytics skill that is in high demand. R Programming is a powerful statistical the programming language which is used for predictive modeling and other data mining related techniques. R programming can be used for data manipulation, data aggregation, statistical Modelling, Creating charts and plots. R programming is becoming the most necessary skill in the field of analytics for its open source credibility.

Objectives of the Course

  • Understand programming fundamentals of R language
  • Understand various data import methods in R
  • Understand the Data Manipulation in R
  • Create visualizations and Plots using R
  • Understand and Implement Linear Regression
  • Perform Text Analysis
  • Understand Machine Learning concepts
  • Real-time implementation of R on a live project and provide Business Insights

Pre-requisites of the Course

  • Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.

Who should do the course

  • Software engineers and data analysts
  • Business intelligence professionals
  • SAS developers wanting to learn open source technology
  • Those aspiring for a career in data science
  • Professionals and Students looking to enter the Data Science industry

R-Programming Language Course Content

Introduction and Overview of R Language

Introduction to R

  • R as a language
  • Working with data in R

The R ecosystem

  • Why use R?
  • Getting started
  • Installation and setup
  • Packages

Data types

  • Character
  • Factor
  • Integer
  • Float
  • Date and time

Data structures

  • Vectors
  • Matrices
  • Lists
  • Data frames

Data handling

  • Importing data from multiple sources/formats like .csv, .txt, .xlsx, SAS and SPSS files
  • Exporting data to multiple formats
  • Handling data frames: filtering, sorting, merging
  • PLYR package for easy data manipulation


  • Commonly used built in functions
  • Writing user defined functions
  • Installing packages
  • Looping functions
  • The “apply” family of functions
  • Basic visualization

Basic statistics in R

  • Distributions
  • Testing
  • Modeling

Graphics in R

  • Graphics for exploratory data analysis
  • Standard graphic displays

The R environment

  • R in the cloud

Statistical analysis with R

  • Linear models
  • Generalized linear models

Advanced statistical modeling with R

  • Density estimation
  • Survival analysis
  • Classification
  • Clustering
Start Date End Date Time (IST) (UTC +5:30) Day
02 Oct 2018 30 Oct 2018 (07:00 AM – 08:30 AM) Tue-Sat
02 Oct 2018 30 Oct 2018 (08:30 PM – 10:00 PM) Tue-Sat
02 Oct 2018 30 Oct 2018 (07:00 PM – 08:30 PM) Tue-Sat
06 Oct 2018 03 Nov 2018 (07:00 PM – 10:00 PM) Sat,Sun
06 Oct 2018 03 Nov 2018 (07:00 AM – 10:00 AM) Sat,Sun




Application Fees INR 0
Total Program Fees INR 25,000
The Program Fees can also be paid in installments
Registration  Fees INR5000(Nonrefundable)

First installment of the Program Fees

(Needs to Paid One Week Before the Batch Start Date)

INR 10,000

Second installment of the Program Fees

(Needs To Be Paid in the 6th Class)

INR 10,000

Discount on Program Fees: 10% Early Bird Discount valid till 10/02/19

10%  Extra discount on Lumsum Payment

Batch Closed:             27th Jan 2019

New Batch Starting:  23rd Feb 2019 (Few Seats Left)

2nd Batch:                   25th Feb 2019

Admission Open Till: 10th Feb 2019 ( If Required Seats Filled, the admissions will be closed even before the Closing Date)


How I can practise?

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants

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