R Basics - R Programming Language Introduction

Learn the essentials of R Programming - R Beginner Level!
Rating: 4.5 out of 5 (14,475 ratings)
157,375 students
R Basics - R Programming Language Introduction
Rating: 4.5 out of 5 (14,475 ratings)
157,375 students
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.

Requirements

  • 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!
Description

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?

Martin

Who this course is for:
  • 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
Course content
3 sections • 29 lectures • 4h 12m total length
  • Welcome to R Basics
    02:49
  • Download R and RStudio
    04:22
  • RStudio Orientation
    18:26
  • Course Script
    05:08
  • The Structure of the R Ecosystem
    14:33
  • R Help Features
    17:49
  • Using R Functions
    11:01
  • Practice R - the R Exercise Database
    02:39
  • Three Common Mistakes of R Beginners
    11:03
  • Your First Lines of R Code
    14:38
  • Using Some Basic Functions
    12:59
  • Exercise and Solution - Basic Coding
    06:16
  • Functions and Loops
    06:39
  • R Datasets and Data.Frames
    09:26
  • Importing CSV Files
    06:04
  • Advanced Data Import - Bonus Material from the Data Pre-Processing Course
    07:53
  • How to Best Structure Your R Learning Experience
    12:38
  • R Base Graphs
    10:52
  • R Base Graphs 2
    15:41
  • Exercise and Solution - R Base Graphs
    03:10
  • Loading your csv files in R; Working directories
    05:13
  • Course R Level 1: Intro to the apply family of functions
    05:19
  • Course Statistics in R: Tests for normality, Exercise and solution
    06:29
  • Course Graphs in R: Lattice package plots
    03:31
  • Course Twitter Text Mining: Exercise and solution sentiment analysis
    12:08
  • Course Machine Learning: KNN Classification
    05:51
  • Course Machine Learning: Linear Discriminant Analysis
    05:43
  • Course Career Guide: Statistical Software Packages - Alternatives to R
    13:15
  • Where to get more info
    00:30

Instructor
Data Science Education
R-Tutorials Training
  • 4.4 Instructor Rating
  • 24,028 Reviews
  • 197,678 Students
  • 23 Courses

  R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 100,000+ students love it. 

        We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top 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 here to help you boost your career with analytics training – Just learn and enjoy.