Business Analytics using R from KPMG

"Business Analytics using R from KPMG” is a four-day instructor led practical course designed and delivered by KPMG that would enable the learners to understand and analyse the data by applying machne learning techniques which are highly effective in various business domains. Learning R will help them to apply the learnt concepts practically using techniques like statistical analysis, process performace modelling etc.

  • Intensive 32 hours of classroom based course
  • Curriculum designed by domain experts at KPMG
  • Analytics Experts from KPMG as course faculty
  • Course completion certificate from KPMG

Course Features

About Business Analytics using R from KPMG

“Business Analytics using R from KPMG” is a four-day instructor led practical course designed and delivered by KPMG to equip professionals from various backgrounds such as statistics, marketing, finance, economics, IT, analytics, marketing research, etc. with the fundamentals of analytics. The course aims to enhance the skills of participants in understanding, interpretation and analysis of data using statistical, analytical and probabilistic techniques. The course covers some of the common machine learning techniques. Scenarios and hands-on analysis of data from various industries including Marketing, Finance, Human Resources, Sales and Software Services are part of this course. The course “Business Analytics using R” covers techniques for performing process performance models, baselines, simulation, variability analysis, statistical analysis required by models such as CMMI®, PCMM®, Six Sigma, etc.

  • Classroom training that gives unmatched learner experience
  • Industry Experts and Mentors from KPMG
  • Scenario and case study based approach
  • Hands on training
  • Hard copy of training material
  • Certification course by KPMG in India
Course Objectives
  • Understand data analytics framework
  • Understand data exploration techniqes
  • Understand multiple data modelling techniques to tackle business scenarios
  • Hands-on experience with R programming
  • Establish relationship within variables to arrive at a prediction Model
Module 1:

Understanding Business Analytics & R Programming

Module 2:

Data Processing & Cleaning and Data Visualization

Module 3:

Supervised learning & Unsupervised Learning

Module 4:

Supervised learning & Unsupervised Learning Cont.

Module 5:

Association Rule Learning, Simulation & Test - Practical & Theory


Industry experts from KPMG having a deep expertise in business and data analytics with having experience of delivering services around consulting, Quality Management, Statistical Processes, Business Analytics and Quantitative management concepts.


Participants will work out and submit the regular assignments as assigned to them during the sessions.

By the end of Day

  • A Practical Exam will be conducted including implementation of concepts learnt in R programming language.
  • In addition to this, participants shall write a multiple choice questions based paper.

Minimum pass percentage is 75 in Assignments, Practical Exam and Theory Paper separately. Participants who secure minimum pass percentage shall be awarded a KPMG certificate citing successful completion of the course.


The training does not have any pre-requisites


Who should join this course?

Professionals and students from various backgrounds such as statistics, marketing, finance, economics, IT, analytics, marketing research, etc. looking to make a career in analytics and data sciences.

What is Business Analytics using R Course?

Business Analytics using R course is an intensive 4 day course on deriving insights from data using data exploration and modelling techniques. The programming language used is R. It is designed to equip professionals from various backgrounds such as statistics, marketing, finance, economics, IT, analytics, marketing research, etc. with the fundamentals of analytics.

Do I need a laptop to attend the course? Do I need to install any software?

Yes you need a laptop with R and R studio installed. On all days of the course, the participant will be working on R.  The participant need to install the below before the course.

 Install R from CRAN website

You can download R console from the link by following these below simple steps

  • URL :
  • Click on the version recommended for your system and save the executable file.
  • Run the  file and follow the installation instructions

You can download R studio from the link by following these below simple steps

  • URL :
  • Click on "Download RStudio Desktop."
  • Click on the version recommended for your system and save the executable file.
  • Recommended to have internet as we will be installing packages/libraries in R and downloading data sets during the course

Why should I attend the course from KPMG?

Business connect through our experience in dealing with leading players in the industry, experienced consultants as trainers, hands-on and not theoretical, global brand.

There are several online courses for Data Analytics. Why should I attend the classroom session? Is it not a waste of time?

Online will be theoretical – will be on pre-defined topics only – won’t be able to connect to your context –who will hand hold you to the world of Data Analytics Learner- centric approach: Our training modules are designed and graded in such a way to help the trainee absorbs the contents with interest and ease. Any aspect that may appear complex is broken into simple concepts which are easily comprehensible and applicable. We try to maintain a 1:12 ratio between of instructors and trainees.

Will we be working on data sets during course? 

All exercises will have accompanying data sets. Most of the data sets can be downloaded from globally known machine learning data repositories. Appropriate citations and references to repositories will be given during course. Data sets range from small to big. Data sets will be provided to participants before beginning of the course. Participants will have to download some data sets from machine learning repositories during the course

Will there be exercises and projects during the course?

Participants will be working extensively on multiple data sets which are from globally known machine learning data repositories. Sufficient exercises and assignments will be covered during the course.

Why classroom is better than online training?

Even though online trainings may be an excellent way of providing and accessing training, , this method is not ideal for everyone. Studies have shown that that the most preferred form of training delivery is still physical classroom. Physical classroom training helps us to give an unmatched learning experience.

Course Features

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