Data Science

Introduction to R

4.56 (668 Ratings)


Skill level


Course cost

About this course

R is a comprehensive statistical and graphical programming language which is fast gaining popularity among data analysts. It is free and runs on a variety of platforms including Windows, Unix, and macOS. It provides an unparalleled platform for programming new statistical methods in an easy and straightforward manner.

Skills covered

  • check R commands
  • check R packages
  • check R functions
  • check Debug
  • check profile R code

Course Syllabus

Intro to R

  • play Introduction to R
  • play R Commands
  • play R Objects.
  • play Data Frames.
  • play List and R Packages
  • play Importing Data in R.
  • play Saving Work in R and scrapping

Course Certificate

Get Introduction to R course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

Discussion on Introduction to R



Which file should i submit for Practice assessment ? (.R file or excel file)…plzz ans me

Reply Icon Reply

How to add rows to dataframe in R.I want to add some observations to the dataframe.Is there any easy way to do so?

Reply Icon Reply

How to Convert a list to a data frame in R

Reply Icon Reply

How to remove rows with nan values in R.

Reply Icon Reply

How to remove duplicate rows in R?

Reply Icon Reply

where can I get data for data manipulation in R

Reply Icon Reply

What is the simplest way to clear in my console in R ?

Reply Icon Reply

How can I concatenate two strings in R ?

Reply Icon Reply

I’m not able to start learn due to access problem already logged in but error coming about batch not started kindly help me to enroll in this course

Reply Icon Reply

Hi Mayur,

We are extremely sorry for the inconvenience. To help you with this, Kindly write to us at with your registered email id and we will help you at the earliest.

Reply Icon Reply

How do you add color to a bar graph in R?

Reply Icon Reply

Let’s say, you create a bar-plot using ggplot2:
ggplot(data = diamonds,aes(x=cut)) + geom_bar() Now, there are two ways to add color to these bars. Either you can use ‘fill’ as an attribute inside geom_bar() function of ‘fill’ as an aesthetic in ass() layer.
ggplot(data = diamonds,aes(x=cut)) + geom_bar(fill=“palegreen4”)
With this command, we are using ‘fill’ as an attribute.
Now, let’s use ‘fill’ as an aesthetic:
ggplot(data = diamonds,aes(x=cut,fill=cut)) + geom_bar()

Reply Icon Reply

I need to save R objects into JSON format. What package do I need to use for this?

Reply Icon Reply
  1. Install rjson Package. In the R console, you can issue the following command to install the rjson package.
  2. Input Data. Create a JSON file by copying the below data into a text editor like notepad.
  3. Read the JSON File.
  4. Convert JSON to a Data Frame.
Reply Icon Reply

Can you use R-squared to evaluate forecasted data correlation?

Reply Icon Reply

We cannot use R-squared to determine whether the coefficient estimates and predictions are biased, which is why you must assess the residual plots. R-squared does not indicate if a regression model provides an adequate fit to your data.

A good model can have a low Rsquare Value. The coefficient of correlation is the “R” value which is given in the summary table in the Regression output. R square is also called the coefficient of determination.
Multiply R times R to get the R square value.
In other words, the Coefficient of Determination is the square of Coefficient of Correlation.

Reply Icon Reply

How can I swap the rows and columns of an R object?

Reply Icon Reply

The transpose (reversing rows and columns) is perhaps the simplest method of reshaping a dataset.

Use the t() function to transpose a matrix or a data frame. In the latter case, row names become variable (column) names.

Reply Icon Reply

Is Python better than R for data science?

Reply Icon Reply

Python is Object oriented programming language, it is easier to debug a python program.

Python is open source and simple/easy to learn.

Now rather than figuring out if R or Python is better, it is more important to understand the techniques that are involved in executing these tools. These tools are more of communication to us, where in we instruct the tools in order to execute the models we need the results for. In that case, both R and Python does good job and has unique values.

Ex: For various Machine learning models and visualization.

If the focus is only on data analysis, then i would say both R and Python are equally good. But python being a object oriented language, and if you are object oriented programmer already, then Python is better.

As the world is emerging with IT programmers, the developers community know object oriented programming and hence the adoption of data science techniques using python is much easier.

In the recent past, there has been huge adoption of python in data science.

Reply Icon Reply

Is ResNet one of the R-CNN model?

Reply Icon Reply

In short ResNet is a CNN model.R-CNN is a bigger concept which has/uses ResNet in it as well other classical CNN models

Reply Icon Reply

Is there any free PDF to learn R for data science?

Reply Icon Reply

What are R commands?

Reply Icon Reply

An R script is simply a text file containing (almost) the same commands that you would enter on the command line of R. ( almost) refers to the fact that if you are using sink() to send the output to a file, you will have to enclose some commands in print() to get the same output as on the command line.

Reply Icon Reply

Great Learning Academy - Free Online Certification Courses

Great Learning Academy, an initiative taken by Great Learning to provide free online courses in various domains, enables professionals and students to learn the most in-demand skills to help them achieve career success.

Great Learning Academy offers free certificate courses with 1000+ hours of content across 100+ courses in various domains such as Data Science, Machine Learning, Artificial Intelligence, IT & Software, Cloud Computing, Marketing & Finance, Big Data, and more. It has offered free online courses with certificates to 500,000+ learners from 140 countries. The Great Learning Academy platform allows you to achieve your career aspirations by working on real-world projects, learning in-demand skills, and gaining knowledge from the best free online courses with certificates. Apart from the free courses, it provides video content and live sessions with industry experts as well.

popup asset

Welcome to Great Learning Academy