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Data Science with R Training Course

(40 Ratings)
Students Enrolled

R is one of the most widely used open-source languages in the field of data science. In collaboration with IBM, GreyCampus offers a highly accessible course that starts from the basics of programming and business analytics before moving on to the functionalities available in R for statistical computing and data analysis.


Highly interactive Instructor-led Training. 

Project to provide hands-on experience

Recieve globally recognized IBM certification


This course is laid to master techniques like data exploration, data visualization, and predictive analytics and descriptive analytics with the help of R language. The curriculum covers the import and export of data in R, data structures in R, different statistical concepts, cluster analysis, and forecasting. Through this certification, the learner gains an understanding of analyzing data to help companies make more effective business decisions.

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Customized training available. Contact us at

Course Curriculum

  • Introduction to Business Analytics
  • Introduction to R Programming
  • Data Structures
  • Data Visualization
  • Statistics for Data Science I
  • Statistics for Data Science II

What You Get

1. 21 hours spread across 7 days of highly interactive Instructor-led Training

2. 5 hours of self-paced learning

3. A project to provide hands-on training

4. Teaching assistance to support your learning journey

5. Learn the required skills using Jupyter Notebook web application

Dual Certification

  • Introduction to R IBM Sample Certificate

    IBM Certification
  • Data Science with R Sample Certificate

    Course Completion Certificate from GreyCampus

Boost your career. Get certified.


Data Science with R certification course is a foundation course for professionals, students, and managers who have only just now set foot in the field of Data Science. Therefore, there are no prerequisites required for this Data Science with R certification course.


  • What is R?

    R is one of the widely used programming languages which has an extensive catalog of statistical and graphical methods. It is widely used by data analysts, statisticians, researchers and marketers to clean, analyze, visualize and present the data.

  • What is the duration of this course?

    The course includes 5 hours of self-paced learning and 21 hours of instructor-led training.

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