Business Analytics using R from KPMG

"Business Analytics using R from KPMG” is a five-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.

  • Five-day instructor led classroom based course
  • Hands on Classroom training that gives unmatched learning experience
  • Industry Experts from KPMG
  • Scenario and case study based approach
  • Hard copy of training material
  • Certification from KPMG
Call Me

Course Features

Related Courses

About Business Analytics using R from KPMG

“Business Analytics using R from KPMG” is a five-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
Curriculum
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

Instructor

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.

Certification

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.

Pre-requisites

The training does not have any pre-requisites

FAQs

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 5 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 : https://CRAN.R-project.org/mirrors.html.
  • 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 : https://www.rstudio.com/products/rstudio/download/
  • 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

batch loading...

Related Courses

AI and Deep Learning with TensorFlow
AWS Certification and Training Program
Administration Essentials for New Admins- Salesforce
Advanced Data Mining projects with R
Advanced Pay Per Click
Advanced Program in Data Sciences
Advanced Social Media Marketing
Analyzing and Visualizing Data with Excel
Analyzing and Visualizing Data with Power BI
Android Game Development for Beginners
Application Development with Swift 2
Automated UI Testing in Java
Big Data Analytics with R
Big Data Applications using Hadoop
Building Android Games with OpenGL ES
Building Applications with Ext JS
Building Applications with Force.com
Building a Data Mart with Pentaho Data Integration
Building iOS 10 Applications with Swift
Builiding web application with spring MVC
Business Analytics using R from KPMG
Certified Digital Marketing Professional
Complete Web and Social Media Analytics
Data Quality 9.x: Developer, Level 1
Data Science Orientation
Data Science with R
Data Science with Spark
DevOps Certification Training
Developing Microsoft SharePoint® Server 2013
Enabling and Managing Microsoft Office 365
Executive Program in Applied Finance
Executive Program in Digital and Social Media Marketing Strategy
Getting Started with R for Data Science
Getting started with Apache Solr Search Server
IBM Cognos Connection and Workspace Advanced
Implementing Microsoft Azure Solutions-70-533
Informatica PowerCenter 9.x Level 1
Introducing Rails 5 Learning Web Development the Ruby Way
Introduction to ITIL
Java Enterprise Apps with DevOps
Joomla Certification Training Program
Julia for Data Science
LEAD (Learn. Enhance. Aspire. Deliver)
Learning Android N Application Development
Learning Data Mining with R
Learning Joomla 3 Extension Development
Learning MongoDB
Learning R for Data Visualization
Learning Spring Boot
Learning Swift 2
Linux shell scripting solution
Machine Learning with Python
Master AngularJS 2
Mastering Magento
Open Source Web App Development using MEAN Stack
PMI® Agile Certified Practitioner Training
Pentaho Reporting
Post Graduate Certificate in General Management (PGCGM)
Programming Using Python
Programming with Python for Data Sciences
Project Management Professional (PMP®) Training
R Data Mining Projects
R for Data Science Solutions
Reactive Java 9
SAS Certification Training Program
Secrets of Viral Video Marketing
Selenium with Java
Six Sigma Certification Training Program
Spring Security
Supply Chain Management(SCM) Training Program
Teradata Certification Training
Test Driven Android
UNIX Shell Scripting Training
Web Apps Development using Node.js along with Express.js and MongoDB
Web Apps Development with HTML5, CSS3, jQuery & Bootstrap
Web Development with Node.JS and MongoDB
iOS App Development Certification Training
jquery UI Development