Business Analytics using R from KPMG – Advanced

KPMG in India’s ‘Business Analytics training using R - Advanced is a four-day instructor led workshop. This is the next step to analysis using R programming Journey. This course aims to enhance the skill of participant and equip them with advance analytical techniques.

  • 4 Day enhanced Classroom based course.
  • Industry Experts and Mentors from KPMG.
  • Industry Standard examples & Case study approach driven course.
  • Learning through Hands on Exercises
  • Certification from KPMG.
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Course Features

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About Business Analytics Using R- Advanced

KPMG in India’s ‘Business Analytics training using R - Advanced is a four-day instructor led workshop. This is the next step to analysis using R programming Journey. This course aims to enhance the skill of participant and equip them with advance analytical techniques. The course covers advanced topics such as Family of functions, Data structure manipulations, Data Cleansing, Interactive visualization and so on. The course also covers the supervised and unsupervised machine learning techniques and ensemble methods using R. Scenarios and hands-on analysis of data from various business use cases will be part of this course.

Course Objectives
  • Understand Advanced Analytics Framework.
  • Expertise on data exploration techniqes.
  • Learn multiple data modelling techniques to tackle business scenarios.
  • Hands-on experience with Advanced R programming.
  • Gain experience on supervised and unsupervised machine learning techniques.
Curriculum
Module 1:

Understanding Advanced Analytics

Module 2:

Advanced R Programming

Module 3:

Data cleaning

Module 4:

Visualisation using Tableu

Module 5:

Supervised learning

Module 6:

Ensemble Modelling

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 65 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

Learners should have fair idea of basic statistical knowledge and fundmentals of data analysis.

FAQs

Who should join the course ?

  • Working professionals in various industries seeking to develop skills in data analytics.
  • Professionals who wish to enhance their skills set from basic to advanced level of data analysis.
  • Aspiring data scientists

What are the potential benefits of this course ?

  • Data analytics along with R can be used to identify data trends, patterns and relationships.
  • Understanding business analytics help to track the business objective.
  • Business Analytics helps in identifying business problems and enhance effective and accurate decision making process.
  • Deep learning is used in scenarios like NLP, Image and Text analytics which has wide application in industry.

What are the potential benefits of this course ?

  • Data analytics along with R can be used to identify data trends, patterns and relationships.
  • Understanding business analytics help to track the business objective.
  • Business Analytics helps in identifying business problems and enhance effective and accurate decision making process.
  • Deep learning is used in scenarios like NLP, Image and Text analytics which has wide application in industry.

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.

What are the key takeaways from this course ?

  • Understand data analytics framework.
  • Understand data exploration techniques.
  • Understand multiple data modelling techniques to tackle business scenarios.
  • Hands-on experience with R programming of machine learning.

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.

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 "

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.

Do we get any hard copy training materials of the course

Yes you will get the hardcopy training materials provided by KPMG for your future reference.

Course Features

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