R for Data Science
Enroll in this free online course to gain a strong foundation in data visualization and manipulation using R. Channelize your career in Data Science with essential skills and techniques.
4.54
Beginner
3.0 Hrs
13.2K+
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About this course
This course will introduce you to R programming for Data Science, with a few demonstrated examples. The course shall focus you on the elements and features available in R to work on Data Science tasks. It shall begin with a briefing on the basics of R programming and then help you understand the data structures, in-built functions, user-defined functions, and flow control statements as you follow the first half of the course. The second part engages you by covering data manipulation and data visualization with factors and dataframes in R. The course also comprehends installing R. Take up the assessment at the end of the course to test your skills and evaluate your gains to avail the certificate. After this free, self-paced, beginner's guide to R for Data Science, you can enroll in the Data Science course and embark on your career with the professional Post Graduate certificate and learn various concepts in depth with millions of aspirants across the globe!
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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.
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