Supercharge your career growth in Data Science
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.
What you learn in R in Data Science ?
About this Free Certificate 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.
Course Outline
This module gives you a demo of installing R-Studion on your system.
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.
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.
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.
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.
Our course instructor
Mr. Theo Dufort
Data Scientist
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2.0 Hours
of self-paced video lectures
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.
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