R-Programming Language Course

PSN Trainings

Course Summary

Class room
Beginner/Entry level

Course Overview

PSN Trainings, with its corporate trainers & Technical experts/professionals offers a comprehensive portfolio of technical training and education services designed for individuals, companies and public organizations to acquire, maintain, and optimize their IT skills.

PSN Trainings offers some courses by alliance with market-premier training institutes. We tied-up with many of the leading Training institutes for providing best trainers for different courses.

PSN Trainings has national presence in conducting classes in cutting edge technologies. Our niche courses are well designed to meet current industry standards. As a premier institute we run classes which are always on par with the IT industry.

Course Description

  • Introduction to R
  • The R ecosystem
  • Data types
  • Data structures
  • Data handling
  • Functions
  • Basic statistics in R
  • Graphics in R
  • The R environment
  • Statistical analysis with R
  • Advanced statistical modeling with R
  • Introduction to Writing R Packages
  • Integrating with other tools.

Topics Covered

    Introduction to R

    • R as a language
    • Working with data in R

    The R ecosystem

    • Why use R?
    • Getting started
    • Installation and setup
    • Packages

    Data types

    • Character
    • Factor
    • Integer
    • Float
    • Date and time

    Data structures

    • Vectors
    • Matrices
    • Lists
    • Data frames

    Data handling

    • Importing data from multiple sources/formats like .csv, .txt, .xlsx, SAS and SPSS files
    • Exporting data to multiple formats
    • Handling data frames: filtering, sorting, merging
    • PLYR package for easy data manipulation


    • Commonly used built in functions
    • Writing user defined functions
    • Installing packages
    • Looping functions
    • The "apply" family of functions
    • Basic visualization

    Basic statistics in R

    • Distributions
    • Testing
    • Modeling

    Graphics in R

    • Graphics for exploratory data analysis
    • Standard graphic displays
    • The R environment
    • R in the cloud

    Statistical analysis with R

    • Linear models
    • Generalized linear models

    Advanced statistical modeling with R

    • Density estimation
    • Survival analysis
    • Classification
    • Clustering

    Introduction to Writing R Packages
    Integrating with other tools.

    • Tableau
    • Python
    • CPP

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