This course provides a solid foundation for programming tools, data manipulation, and functions in R Programming. Starting from variables and basic operations; you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. Instead of passively watching lectures, you will solve real data problems, opportunity to interact with R experts and can get personalised feedback from our mentoring sessions.
Strategies that will make beginning R users more efficient: writing code using a "script" and navigating through directories within R.
Get acquainted with performing basic computations in R, creating R objects (sometimes called "variables"), and seeing and running earlier commands that were run in the console.
Learn how to create a vector in R using the c() function and the colon-notation (e.g. 1:5), find the length of a vector using the length() function, and subset vectors with bracket-notation and the head() and tail() functions.
So far we've seen objects that use numbers, but R is also built to handle more types of objects. Here we explore vectors that contain strings or boolean values (TRUE / FALSE).
This unit demystifies the different ways R performs vector arithmetic (e.g. addition and multiplication), covering topics including element-wise arithmetic, vector recycling, and how some functions are automatically applied across the elements in a vector. The seq() function is also introduced.
You can write basic code snippets comfortably without much assistance and also be familiar with the basic concepts of R programming.
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Yes, we do offer a course completion certificate along based on your credits as a part of this course. Once we release our unified digital portfolio program, all your performances will be linked to your unique profile that you will make you to stand out from the crowd on job interviews.
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