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R Programming

This web-based training course on R Programming functionality, administration and development, is available online to all individuals, institutions, corporates and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkatta), US, UK, Canada, Australia, Singapore, United Arab Emirates (UAE), China and South Africa. No matter where you are located, you can enroll for any training with us - because all our training sessions are delivered online by live instructors using interactive, intensive learning methods.

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Course Details

This course helps trainees to learn how to program in R and how to use R for effective data analysis. R is rapidly becoming the leading language in data science and statistics. In this training program trainees will learn how to install and configure software required for statistical programming environment and also they will learn generic programming language concepts. With this course trainees will learn programming in R, reading data into R, to access R packages, to write R functions, debugging, profiling R code, organizing and commenting R code. R provides a wide variety of statistical and graphical techniques and is highly extensible. The things that make this course effective are that trainees can continuously exercise their newly acquired knowledge and skills through interactive in-browser coding challenges. This online training program is beneficial both for beginners and intermediate.


Introduction

  • Explain R
  • Need of R
  • R environment
  • To get help in R
  • R Console and Editor

Understanding R data structure

  • Variables in R
  • Explain Scalars
  • Explain Vectors
  • Explain Matrices
  • List
  • Data frames
  • Use c, Cbind, Rbind, attach and detach functions
  • Different Factors

Importing data

  • To read Tabular Data files
  • Read CSV files
  • Importing data from excel
  • Importing data from SAS
  • To Access database
  • To Save in R data
  • To Load R data objects
  • Writing to files

Manipulating Data

  • To select rows/observations
  • Selecting columns/fields
  • To Merge the data
  • Relabelling the column names
  • Converting variable types
  • Explain Data sorting
  • Explain Data aggregation

Using functions in R

  • To explain commonly used Mathematical Functions
  • Explaining commonly used Summary Functions
  • Defining String Functions
  • User defined functions
  • Explaining local and global variable

R Programming

  • While loop
  • If loop
  • for loop
  • Arithmetic operations

Charts and Plots

  • Box plot
  • Explaining Histogram
  • Pareto charts
  • Pie graph
  • Line charts
  • To Scatter plot
  • Graphs Development

Live Instructor-led & Interactive Online Sessions


Regular Course

Duration : 40 Hours


Capsule Course

Duration : 4-8 Hours

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Training Options

OPTION 1

Weekdays- Cloud Based Training

Mon - Fri 07:00 AM - 09:00 AM(Mon, Wed, Fri)

Weekdays Online Lab

Mon - Fri 07:00 AM - 09:00 AM(Tue, Thur)


OPTION 2

Weekend- Cloud Based Training

Sat-Sun 09:00 AM - 11:00 AM (IST)

Weekend Online Lab

Sat-Sun 11:00 AM - 01:00 PM


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