25+ Branches Worldwide | +91 977.227.1081

25+ Branches Worldwide | +91 977.227.1081

R Language Programming Course

R Language Programming Course Certification

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R Language Programming Course

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs. This R Language Programming Course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required. What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform.

Data Analytics with R Programming

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

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