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R in Data Science

Get familiar with the much-needed R language for dealing with data through this free R in Data Science course. Learn the fundamentals of R and comprehend data manipulation and visualization with hands-on examples.

Instructor:

Mr. Theo Dufort
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Level

3.0 Hrs

Learning hours

2.2K+

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R in Data Science

3.0 Learning Hours . Beginner

Enrol free with email

Skills you’ll Learn

R Programming Basics
R Data Structures
Vectors
Lists
Matrices
Data Frames

About this course

This R in Data Science course is designed for beginners and helps you learn significant concepts from scratch. The free course starts with helping you install R-Studio in your system, and you will then go through the basics of R and understand its data structures. Next, in-built functions are discussed to help learners gain a good grip on the R language. Flow control statements and user-defined functions are introduced with the help of appropriate code examples.

 

Further, you will get acquainted with the concept of factor and data frame in R. Lastly, you will learn about data manipulation and visualization and understand the best practice in R for their implementation. These implementations are shown through hands-on examples. Complete the quiz at the end of the course to gain a free R in Data Science course completion certificate.

 

Want to dive deeper into Data Science? Great Learning offers Best Data Science Courses. Enroll in the course that suits your career goals and achieve a certificate of course completion that validates your skills. 

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Course Outline

Installing R

This module gives you a demo of installing R-Studion on your system.

Basics of R

This section shall cover the basic concepts in R, starting from understanding what a variable is and explaining different types of data. You will then know about the different sections, tabs, and elements in R studio. You will also understand how to work with different types of variables later in this section.

Data Structures in R

Vectors, lists, data frames, matrices, arrays, and factors are the different data structures present in R. You will understand all of these data structures with demonstrated snippets of code in this section.

In-built functions in R

R language have a rich set of built-in functions already created and defined in the programming framework. You will understand and work with a few in-built functions with demonstrated examples in this section.

Flow Control Statements in R

The section begins with defining what flow control statements are and then continues with its expression with a demonstrated snippet of code for each control statement. You will also understand how these statements control the execution and flow of codes depending on the conditions defined. 
 

User defined Functions in R

You will first understand what user-defined functions are and how users create them based on the requirements. You will also learn to define them through the code in this section.

Factor and Dataframe in R

This module begins with explaining what a factor is and will help you understand it through an example. The second part of this section talks about what dataframes are and why they are essential. You will then work with sample codes to understand dataframes better.

Data Manipulation in R

The section begins by defining what data manipulation is with an example. You will then understand the role of the DPLYR package in data manipulation and work with its methods, functions, and operators to alter and fetch data in order to organize data and make it more readable in R in the second part of this section.

Data Visualization in R

You will understand what data visualization is at the beginning of this section and then continue to understand it through ggplot2. You will also learn to stack and represent layers using histogram, bar graph, scatter point, and box plot through ggplot2 and also look at the demonstrated code snippet to understand data visualization better.

Our course instructor

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Mr. Theo Dufort

Data Scientist

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2.2K+ Learners
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1 Courses
Theo Dufort is a full-time Data Scientist, has studied Mathematical and Statistical Modelling of data to forecast trends and predict outcomes in various industries, including scientific and commercial sectors. He has produced a series of educational videos for professionals looking to learn R & Rstudio. Great Learning, an Indian leader in analytics e-learning programs, hosts these tutorials.

Trusted by 10 Million+ Learners globally

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R in Data Science

3.0 Learning Hours . Beginner

Enrol free with email

Frequently Asked Questions

What prerequisites are required to learn this R in Data Science course?

Enrolling in this free R course requires no prerequisites, and it is mainly designed for beginners to learn it from scratch.
 

How long does it take to complete this free R course?

This free R in Data Science course contains 2 hours of self-paced videos that learners can take up according to their convenience.
 

Will I have lifetime access to this free online course?

Yes. You will have lifetime access to this free online R in Data Science course.
 

What are my next learning options after this R in Data Science course?

You can enroll in Great Learning's Applied Data Science MIT Program to gain advanced and crucial Data Science skills and earn a certificate of course completion.

 

Is it worth learning R?

R is definitely worth learning because it is a widely used statistical programming language known for its ease of use and flexibility. It is a free software environment for statistical computing that is widely used among statisticians and data miners to develop statistical software and data analysis.
 

What is R used for?

R is a programming language and computing environment used for reporting, graphic representation, and statistical analysis.

Why is R so popular?

R is popular because it is a versatile scripting language for data analysis and statistical computing. Other reasons include the following:

  • It is free and open source.
  • It has a wide range of packages.
  • It is versatile and easy to learn.
     

What jobs demand that you learn R?

Jobs that commonly demand skills in R include:

  • Statistician
  • Data Scientist
  • Data Analyst
  • Business Analyst
     

Will I get a certificate after completing this R in Data Science course?

Yes, you will be rewarded with a free R course completion certificate after completing all the modules and the quiz at the end of this free R in Data Science course.
 

What knowledge and skills will I gain upon completing this R in Data Science course?

By the end of this online R course, you will be familiar with its fundamentals, data structures, user-defined and in-built functions, factors, and data frames. You will get knowledge regarding data manipulation and data visualization using hands-on examples. 

How much does this R in Data Science course cost?

This R in Data Science online course is offered for free by Great Learning Academy.
 

Is there a limit on how many times I can take this online R course?

No, there are no limits on the number of times you can attain this free R in Data Science course.
 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can sign up for more than one free course offered by Great Learning Academy that efficiently helps your career growth.
 

Why choose Great Learning for this R course?

Great Learning Academy is an initiative taken by the leading e-learning platform, Great Learning. Great Learning Academy provides you with industry-relevant courses for free, and R in Data Science is one of the free courses that empowers you with in-demand R skills to deal with real-world Data Science problems.

 

Who is eligible to take this free R in Data Science course?

Any beginner who wants to learn R for Data Science from scratch can enroll in this free R Data Science course.
 

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