Learn R programming for Data Science

This course would teach you everything in R programming right from the scratch, so don't worry if you an absolute beginner.
Duration: 1 Day
Hours: 4 Hours
Training Level: All Level
Virtual Class Id: 50641
Single Attendee
$199.00 $332.00
6 month Access for Recorded
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About the Course:

Welcome to this course on R programming, where you will learn to write code in R by implementing various concepts. As you might already be aware R is not like general-purpose programming languages, but optimized specifically to do complex mathematical tasks, finding insights from huge datasets and plotting the insights in the form of Visualization charts. These capabilities make R, the most widely used language when it comes to Data Science, Data Analysis, and Business Intelligence.

This course will teach you everything in R programming right from scratch, so don't worry if you are an absolute beginner. Moreover, if you have already used Python or R previously, this course would take your skillset to the professional level.

Why you should learn R?

It helps Data Analysts and Data Scientists perform many data-related tasks, such as data storage and data analysis, and can be used to create customized dashboards and data visualizations. R is a high-level language that has easier syntax as compared to other programming languages such as C, C++, Java, Python, and dot net. If you are skilled in R programming, it will add significant value to your Resume and could help you get an aspirational career opportunity.

Course Objective:

  • To learn how to write code using R programming language by implementing various concepts and functionalities that can be used for Data Analysis, Data Visualization, and Data Science.

Who is the Target Audience?

  • Anyone who is curious to learn R programming language for Data Science
  • Students, Developers, Analysts, and just everyone who is interested in learning to code in R.

Basic Knowledge:

  • If you already know some programming languages such as C, C++, Java, Python, or any other programming language, it would be helpful. But it is NOT mandatory, as we will cover everything from scratch.

Total Duration: 4 Hours
Fundamentals of R
Datatypes and Variables
Math functions- max, min, sqrt, ceiling, floor, abs
String functions
Operators in R- Arithmetic, Assignment, Comparison, Logical, Miscellaneous
Control statements- if else, switch case, if else ladder and nested if
Loop- for, while, repeat, break, next, nested
Creating functions, parameters, and arguments
Data Structures in R
Vector, List, Matrices
Arrays, Data Frames, Factors
Data Visualization in R- Plot
Line, Bar, Scatterplot, Pie charts, histogram
Statistics in R with mtcars