R Programming

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Description
Course Resources

DURATION: 6.30 hours
VIDEOS: 71
LEVEL: Beginner

In this Introduction to R Programming course, we assume you are brand new to R Programming and teach you the basics of this impressive programming language.

We’ll start by introducing you to R, why it’s used by data scientists, and what it’s capable of. After that, we get you set up in R Studio and show you how to prepare the R Workspace. We then launch into Data Types in R, Coding Style in R.

We also show you how to import data into R Studio from various file formats before launching into the essential R components – Vectors, Matrices, Arrays, Lists, Factors, Loops, Functions, Dataframes and so much more.

We end the course with a mini-project where we pull everything you have learned together and set you an R Programming challenge.

In this course you will learn:

What R is and how it is used in Data Science
Data types in R, coding style, and comments
How to use Vectors in R
How to use Matrices in R, including matric operations and modification
How to use Arrays in R
About using Lists in R including how to select list elements
All about Factors in R
How to use Loops in R and IF, ELSE statements
How to use Functions in R
How to use Data Frames including tidyverse and tibbles in R
To complete your first R programming assignment

R Programming

The course support files consist of two .ZIP files. You will need to download the .zip files to your PC or Mac (the file are not compatible with a mobile device) and unzip the file. Once unzipped, all of the exercise/example files will reside in one folder.