R for Beginners

Learn Programming in R and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Prashanth Chidambaram

architecture icon Development,Data Science and AI ML,Data Analysis


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Course Description

R For Beginners: Learn Basics of R Programming and gain one of employer's most requested skills in 2020!

Data Science is all about using data to solve some of society's most pressing problems. Harvard Business Review touted Data Science as the sexiest job of the 21st century, and no wonder Data Science is considered the future! with zettabytes and yottabytes of structured and unstructured data floating everyday, it calls for very unique skillsets to uncover hidden patterns and generate valuable insights from data.

This course covers the basics of R/ R Studio Programming and several practical exercises relating to data science such as data analysis, building algorthims, generating insights and data visualization.

R Programming is often associated with having a very steep learning curve and many students give up feeling overwhelmed by the language. The 'R for Beginners' course follows a step by step approach, combining conceptual learning with hands-on assignments, quizzes and real world projects.

Moreover, we would learning R Programming, with R Studio an IDE for R Programming, with a console, syntax editor for executing R code and debugging, as well as advanced tools for data visualization such as plots and maps.

At the end of this R/R Studio Programming course, you would be able to understand and apply basics of R/R Studio programming, analyze large data sets, export your findings onto excel, visualize data and even build your own algorithms!

Who is this course aimed at

- Beginners who have no coding background in R Programming or otherwise

- Aspiring as well as professional data analysts, statisticians and programmers


What will you learn in this course:

  • Basics of R Programming
  • Learn to work with R and R Studio IDE
  • Build algorithms using logical and conditional operators as well as loop statements
  • Analyze large data-sets, and reproduce results in R/Excel
  • Thoroughly understand data structures in R and apply them as appropriate
  • Good working knowledge of stringr and dplyr packages
  • Understand basics of Data Science


What are the prerequisites for this course?

  • R and R Studio
  • PC with Windows/Mac OS
  • Internet Connection
  • MS Office Excel
R for Beginners


Check out the detailed breakdown of what’s inside the course

Getting started with R!
4 Lectures
  • play icon Setting up R and R Studio 02:00 02:00
  • play icon Understanding R Studio: Layout and Features 03:09 03:09
  • play icon Learn how to Import Files 05:03 05:03
  • play icon Updating Libraries 02:04 02:04
Fundamentals of Programming
4 Lectures
Data Structures in R
10 Lectures
In Class Exercises
3 Lectures
Bonus Section: Visualizing Data!
1 Lectures

Instructor Details

Prashanth Chidambaram

Prashanth Chidambaram


Prashanth Chidambaram has a Bachelors in Chemical Engineering , MBA in Finance and Operations as well as an Associate's Degree in Piano.

Currently he works as an analyst with a management consulting firm and has worked on projects spanning network design and optimization, inventory planning, demand forecasting and has helped clients accelerate their digital journey.

As an educator, he runs an education services firm that provides music lessons to K-12 as well as pre-school students.

Feel free to contact him for more information on online classes, guidance, as well as for new courses.

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