R Basics - R Programming Language Introduction
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R Basics - R Programming Language Introduction

Learn the essentials of R Programming - R Beginner Level!
4.5 (2,722 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
40,606 students enrolled
Last updated 9/2016
Price: Free
  • 4 hours on-demand video
  • 2 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
You will learn how to navigate in the RStudio interface
You will learn how to make basic graphs
You will learn about the basic structure of R including packages
You will learn how to perform basic commands in the R programming language
You will also learn how to handle add on packages, how to use the R help tools and generally how to find your way in the R world.
View Curriculum
  • Genuine Interest in statistical programming
  • Computer ready to run R and RStudio
  • Basic understanding of statistics and data structure
  • NO prior knowledge in programming is required!

Are you interested in data science?

Do you want to learn R totally from scratch?

Are you looking for an easy step by step approach to get into R?

Do you want to take an easy R course for BEGINNERS?

Well, if your answer is YES to some of these questions, look no further, this course will help you.

I created this course for the total beginner. That means for you: No prior knowledge required! If this is your first computer programming language to use - congratulations, you found your entry level material. If you are new to data science, no problem, you will learn anything you need to to start out with R.

That also means for you: if you are already used to R, you will likely benefit more from an advanced course. I have more than ten intermediate and advanced R courses available on Udemy, which might be more suited towards your needs. Check out the r-tutorials instructor profile for more info.

Let’s take a look at the content and how the course is structured:

We will start with installation, the R and RStudio interface, add on packages, how to use the R exercise database and the R help tools.

Then we will learn various ways to import data, first coding steps including basic R functions, functions and loops and we will also take a look at the graphical tools.

The whole course should take approx. 3 to 5 hours, and there are exercises available for you to try out R. You will also get the code I am using for the demos.

Anything is ready for you to enter the world of statistical programming.

What R you waiting for?


Who is the target audience?
  • Students who need R for their courses
  • Web developers who want to implement data analysis features in their webpage
  • Everybody interested in statistics and data sciences
  • Researchers who perform data analysis including graphs
  • Professionals working in analytics or related fields
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Curriculum For This Course
Expand All 29 Lectures Collapse All 29 Lectures 04:12:01
9 Lectures 01:28:44
Welcome to R Basics

Download R and RStudio

RStudio Orientation

Course Script

The Structure of the R Ecosystem

R Help Features

Using R Functions

Practice R - the R Exercise Database

Three Common Mistakes of R Beginners
Getting started with coding
11 Lectures 01:46:16
Your First Lines of R Code

Using Some Basic Functions

Exercise and Solution - Basic Coding

In this video I will show you some basic examples of functions and loops in R. The Erathostenes loop was taken from the Level 1 course where you can find this as an exercise.

Functions and Loops

R Datasets and Data.Frames

Importing CSV Files

Advanced Data Import - Bonus Material from the Data Pre-Processing Course

How to Best Structure Your R Learning Experience

R Base Graphs

R Base Graphs 2

Exercise and Solution - R Base Graphs
Bonus material from the other R-Tutorials courses
9 Lectures 58:05

Learn how to handle csv and similar files in R.

csv is my favourite format when it comes to loading data frames into R. In this video I will show you how to download a zip data file from an external source and how to get it into R.

You will also learn about working directories and how to save R scripts.

Loading your csv files in R; Working directories

The apply family of functions is a way to do loops in R. Apply helps you to write shorter code and get results faster.

Course: R Level 1

Course R Level 1: Intro to the apply family of functions

The nortest package offers some very useful tests for normality. Along with some graphical tools you can determin if you have normal distributed data or not.

Course: Statistics in R

Course Statistics in R: Tests for normality, Exercise and solution

The package lattice is quite useful for scientific publications. Lots of statistical papers contain lattice plots.

In this video you will learn about some lattice plots.

Course: Graphs in R

Course Graphs in R: Lattice package plots

This is an example video of the course "Text mining, scraping and sentiment analysis in R". The is the solution to one of the exercises of the course.

Course Twitter Text Mining: Exercise and solution sentiment analysis

Course Machine Learning: KNN Classification

Course Machine Learning: Linear Discriminant Analysis

Course Career Guide: Statistical Software Packages - Alternatives to R

Where to get more info
About the Instructor
R-Tutorials Training
4.4 Average rating
3,809 Reviews
48,066 Students
15 Courses
Data Science Education

R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 30,000+ students love it.

We focus on Data Science tutorials. Offering several R courses for every skill level, we are Udemy's number one R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.

The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.

Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.

We are there to help you boost your career with analytics training – Just learn and enjoy.