R Programming Training Course

R programming online training builds the proficiency in using R programming language for statistical computing and graphics.

  • 15000
  • 18000
  • Course Includes
  • Live Class Practical Oriented Training
  • 45 + Hrs Instructor LED Training
  • 25 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option

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What you will learn

  • Clear understanding of Statistical programming and R environment
  • In-depth knowledge of basic features, functions, operators available with R
  • Comprehensive information about programming statistical graphics
  • Ways of using simulation and numerical optimization
  • Extract data from R objects, perform reading and writing of Data, and handle databases
  • Use subscripting, character manipulation, and reshaping of data
  • Find probability, distributions, regression and correlation
  • Significance of sample size and its calculation. Advance data handling techniques


  • Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.


|| About R Programming Training Course

R programming online training course exposed to fundamental programming concepts in R. After the basics, you will learn how to organize, modify and clean data frames, a useful data structure in R. Then you will learn how to create data visualizations to showcase insights in data. R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science. In this course you will learn how to program in R and how to use R for effective data analysis.


You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. R programming training course introduces R environment and basic statistical analysis. It extends the learning curve by teaching techniques used for data manipulation and the overview of basic data structures. Statistical applications using R programming and exploration of data using box plots, histograms, correlation coefficients will also be illustrated. Our course offers an expert's-eye overview of how these advanced tasks fit together in R as a whole along with practical examples. Through hands on exercises and in-depth coaching you will get a thorough understanding of R, its data structures, data processing functions and data summarizing with R.

Course Content