Course curriculum

  • 1

    Chapter 1

  • 2

    Chapter 2

    • Setup of R Language
  • 3

    First Quiz + Chapter 3

    • First Quiz + Variables and Data Types
  • 4

    Chapter 4

    • Data Structure in R (Part-I)
  • 5

    Chapter 5

    • Data Structure in R (Part-II)
  • 6

    Second Quiz

  • 7

    Chapter 6

    • Input-Output Features in R
  • 8

    Chapter 7

    • Operators and types of operators in R
  • 9

    Chapter 8

  • 10

    Chapter 9

    • Loop control in R
  • 11

    Third Quiz

    • Third Quiz
  • 12

    Chapter 10

    • Functions in R
  • 13

    Chapter 11

    • Strings in R
  • 14

    Chapter 12

    • More operations on Data structure (Part-I)
  • 15

    Chapter 13

    • More operations on Data structure (Part-II)
  • 16

    Chapter 14

    • Packages in R
  • 17

    Chapter 15

    • Data and file management in R (Part-I)
  • 18

    Chapter 16

    • Data and file management in R (Part-II)
  • 19

    Fourth Quiz

    • Fourth Quiz
  • 20

    Chapter 17

    • Statistical analysis in R
  • 21

    Chapter 18

    • Introduction to Data Visualisation
  • 22

    Chapter 19

    • Data visualisation in R (Part-I)
  • 23

    Chapter 20

    • Data visualisation in R (Part-II)
  • 24

    Chapter 21

    • Data visualisation using ggplot2
  • 25

    Project on Data Visualisation (Part-I)

    • Introduction to Project
  • 26

    Project on Data Visualisation (Part-II)

    • Project Development/Implementation

Still confused about this course?

This course will assist you with learning R Programming without any preparation in a handy way, as an initial step to turn into a talented R Data Scientist. You don't need to know anything about R before beginning. Taking up this R Programming preparing will assist you with getting lucrative employments offered by huge organisations. Get enrolled for the most in demand skill in the world. Build your skills in R to advance your career. A downloadable certificate will be available to you when you complete this course.

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