R Language Programming Course in Jaipur


Course Name – R Language Course                                           

Duration – 1 Month


R is rapidly becoming the leading language in data science and statistics. Today, R is that the tool of choice for data science professionals in every industry and field. Whether you’re a full-time number cruncher, or simply the occasional data analyst, R will suit your needs. This R Language Programming Course will assist you master the fundamentals of R. In seven sections, you’ll cover its basic syntax, making you able to undertake your own first data analysis using R. starting from variables and basic operations, you’ll eventually find out how to handle data structures like vectors, matrices, data frames and lists. within the final section, you’ll dive deeper into the graphical capabilities of R, and make your own stunning data visualizations. No prior knowledge in programming or data science is required. What makes this course unique is that you simply will continuously practice your newly acquired skills through interactive in-browser coding challenges using the Data Camp platform.


R Language Programming Course Syllabus


  • History of R

  • Introduction to R

  • Variable declaration in R

  • Operators in R


Data Types in R


  • Categorization

  • String data type


Program Flow Control R


  • Conditional statement: if-else if-else

  • Looping in R

  • Implement examples on loops and conditional statements


Functions, Modules and Packages in R


  • Declaration and implementation of functions

  • Importance of module programming in R

  • Packages in R

  • Programming using functions, modules and external packages


Array programming in R


  • Introduction to array

  • Array categorization

  • Array using in build methods


Strings in R


  • String using in build methods

  • Programming in python


Data Reshaping



Data Frames



Data interfacing in R


  • Importing CSV, Excel files, binary files


Oops with R


  • Oops concepts with R

  • Programming using Oops support


Error handling in R


  • Introduction to tryCatchLog

  • Handling error using it


GUI designs


  • Introduction to GUI designs

  • Making GUI designs