Applied Data Science - 3 : R Programming

Kumaran Ponnambalam, Dedicated to Data Science Education

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14 Videos (2h 47m)
    • About Data Science Series

    • R Studio walkaround

    • R01 Language Basics

    • R02 Vectors and Lists

    • R03 Data Frames and Matrices

    • R04 Data and Input Output Operations

    • R05 Programming and Packages

    • R07 Statistics in R

    • R08 Graphics in R

    • R Examples 01

    • R Examples 02

    • R Examples 03

    • R Examples 04

    • R Examples 05


About This Class

This class is part of the "Applied Data Science Series" on SkillShare presented by V2 Maestros. If you wish to go through the entire curriculum, please register for all the other courses and go through them in the sequence specified.

This course focuses on R Programming. It explains the various constructs of the language and provides examples of how to use them.

Please download and install R and R Studio

R installation :

R studio installation :

The resource bundle for this course can be downloaded from 

5 of 5 students recommendSee All

Flawless presentation. I am new to skillshare and new to Datascience;am thoroughly enjoying the courses from Mr Kumaran Ponnambalam. Thank you Sir. Kindly assist me with the resource section you have mentioned in your example videos. I am unable to find the resource section in skillshare.
I think it is a great course for those who have programming experience and wants to use R. I think more examples incorporated with the basic lectures would be a good add.





Kumaran Ponnambalam

Dedicated to Data Science Education

V2 Maestros is dedicated to teaching data science and Big Data at affordable costs to the world. Our instructors have real world experience practicing data science and delivering business results. Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.

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