Course Objective:

The objective of this course is to provide hands-on experience of R-programming for data manipulation techniques. Here we start from the scratch and enable our student to handle the most complex scenarios.

Module I: Introduction

  • Introduction to R
  • CRAN
  • Installation
  • Workspace
  • Data structure – Vector, Matrix, Array, Factor, Dataframe, List
  • R packages
  • Help in R
  • Arithmetic Operations
  • Relational Operators
  • Logical Operators

Module III: Working with datasets

  • Importing
  • Creating user defined function
  • Functions
  • Treating missing values and outliers
  • Working with multiple datasets

Module II: Conditional Statements and Loops and Apply functions

  • if else statements
  • ifelse() function
  • switch() function
  • for, while loops
  • Nested loops
  • next and break statements
  • DPLYR & apply Function

Module IV: Data visualization

  • Histogram
  • Bar chart
  • Line chart
  • Box and whisker plot
  • Word cloud
  • Heat map

Project work:

1 projects will be discussed in the class to provide real-life experience of working with complex data-manipulations.

One project will be given for homework.

Course Details

Data Science using R
Data Science training program using R

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Important Dates

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

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