Data Science with R

Want to become a Data Scientist or Data analyst then through R language learn to handle, store and analyse data

GreyCampus is an online training platform, that has been in this field for more than 12 years. Before we set up a curriculum, we ensure that the learner understands the core fundamentals of any course they opt for.  That’s why our curriculum begins at the basics and ends at how to deal advance level topics.

What you’ll learn

  • Introduction to R..
  • Understanding of data manipulation..
  • Understanding of data visualization..
  • Understanding a Mini project..

Course Content

  • Module 1 –> 1 lecture • 49min.
  • Module 2 –> 1 lecture • 47min.
  • Module 3 –> 1 lecture • 43min.
  • Module 4 –> 1 lecture • 49min.
  • Module 5 –> 1 lecture • 56min.
  • Mocks –> 0 lectures • 0min.

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Requirements

  • There are no prerequisites. Anybody interested in understanding the concepts of data science with R can take this course..

GreyCampus is an online training platform, that has been in this field for more than 12 years. Before we set up a curriculum, we ensure that the learner understands the core fundamentals of any course they opt for.  That’s why our curriculum begins at the basics and ends at how to deal advance level topics.

R is among the initial languages that any learner who wants to inspire to become a data scientist should learn, as this is the easiest way in to the world’s most trending technology at the moment.

In this 5 hours course, you will be learning R programming through many live examples, get introduced to tools that will help you understand and handle raw data, critically asses and analyse data and shape it as per the current market requirement. You will also be learning how this powerful language allows you to import, clean, manipulate, and visualise data—all integral skills for any aspiring data science professional or researcher.

Along with this all we will be providing you with mock exams, assessments, quizzes, a mini project and much more study material for reference and practice.

By the end of this course you will be able to apply for jobs related to data science, become a data analyst, deal with real time projects with confidence.

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