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Big Data Analytics Using R Certificate Course

19,799.00 17,799.00

Courses Included


R is an open source software environment and Big Data Analytics using R is the new revolution in the world of Data Analytics, being in high demand throughout Consulting industry. R is preferred by everyone because of being open source, however there is currently a huge dearth of supply of resources in the industry with R skills coupled with Data Analytics. Average salary of Big Data Analytics with R resources is INR 18-20 lac per annum in Indian consulting industry. 

  • Big Data needs 1.5 million managers by 2018
  • Big Brands Like Twitter, Microsoft, Mozilla, Bank of America etc are using R programming as their primary tool.
Objectives of this Course

After completing the course, you will be able to understand:

  • Big Data concepts, characteristics, use cases and significance of R in Big Data Analytics.
  • Advanced Analytics, Data Mining, and Data Visualization tools

Key Features of the Course

  • 30 hours of Live Instructor Led Online sessions
  • Get trained by international expert with more than 25 years of experience
  • 6 months of Free Access to e-learning library (LMS)
  • 40 hours of real life industry project experience
  • Hands-on experience in data manipulation, statistical analysis, and graphics applications
  • Get completion certificate in R Programming
Who should take this course?

This course is ideal for engineers, consultants, business analysts, scientists and researchers.

Course Pre-requisites

There are no formal prerequisites for this course.  However, the following skills are helpful prior to taking this course:

  • Experience programming in any one high-level programming language such as BASIC, C, C++, Java, Python, or Ruby.
  • Basic knowledge of statistics as covered in a first-semester undergraduate statistics course.

You will get Certificate of Completion of Training in Big Data Analytics using R, on the successful completion of the course – Recognized across Consulting and IT Industry at the time of recruitment.

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