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#5 in Data ScienceUdemyData SciencePaid courseBeginner level

R Basics - R Programming Language Introduction (Udemy.com)

Learn the essentials of R Programming - R Beginner Level!

4.6
19,341 reviews

Created by: R-Tutorials Training

Last updated June 2018

Our take

Based on the ratings of 19,341 students, a sample of their written reviews and the syllabus, as the course stood in June 2018. No course pays to be reviewed.

Martin from R-Tutorials built this as a free entry point to R, and the numbers show it has landed. About 230,000 students have enrolled, and the rating is 4.6 across 19,341 reviews. The syllabus is short: 29 lectures and about 4.2 hours, covering installing R and RStudio, add-on packages, importing data, functions, loops and basic graphs. The last section is bonus material pulled from other R-Tutorials courses, so the core is just over three hours. It is aimed at people with no programming background.

Reviewers like the slow pace and the plain explanations. One calls the pace adequate for beginners, and another says the course script helped them apply what they learned. The complaints are small but real. One student found the narrator's articulation hard to follow, with word endings swallowed. A three-star reviewer says the instructor sometimes jumps into more advanced plotting with plotrix and moves quickly, which gets overwhelming. Another felt lost when a machine learning example appeared without enough setup.

The course was last updated in 2018, so expect older tooling. The data lists no quizzes or coding exercises, though the description mentions exercises and downloadable code from the demos to type along with. The reviews suggest it does the job of a gentle first look, so take it for that. If you want depth or a project, plan to follow it with a longer course.

Best forTotal beginners who want a free, slow first look at RStudio, packages and basic plots.
Skip it ifYou already know basic R, or want quizzes and graded coding exercises built into the lessons.

Pros

  • Slow, plain-spoken pacing that reviewers say suits true beginners
  • Covers RStudio setup, packages, data import, loops and basic graphs in about 4 hours
  • Downloadable course script lets students follow along and apply the code
  • Free, with about 230,000 students and a 4.6 rating from 19,341 reviews

Cons

  • Last updated in 2018, so the tooling and screens are older
  • One reviewer found the narrator's articulation and accent hard to follow
  • Occasionally rushes into advanced plotting or machine learning without enough setup
This was a very good course. The pace was adequate, and the level of explanations is also appropriate for beginners to understand. Recommended!
Jelena Marinkov, a student

Suits true beginners, though the listing asks for a basic grasp of statistics and data structure.

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What you will 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.

Course content

3 sections · 29 lectures · 4.2 hours of video 2 articles

  1. 1Introduction 1 free preview9 lectures · 1.5 hours
  2. 2Getting started with coding11 lectures · 1.8 hours
  3. 3Bonus material from the other R-Tutorials courses9 lectures · 58 min

Who it is for

The instructor says it suits

  • 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

What you need before you start

  • 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!

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Course 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
Read More Beginner Beginner Level product length iconTime: 4.2h

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Instructor Details

R-Tutorials Training

  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. 

Read More

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Reviews

4.6

19,341 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Hamza Ali Khan on 5/23/2026

This is an amazing course for beginners. This course touches every point in R lightly, and the course script made you able to apply what you learn. I am really enjoying this.

By Okechukwu Paulinus ONYENURU on 5/21/2026

Very good for beginners, but the Machine Learning angle was not well explained before deployed. I was lost, but went through it. Hopefully will try other courses for better explanation. Overall, it is a good start.

By Jelena Marinkov on 10/16/2025

This was a very good course. The pace was adequate, and the level of explanations is also appropriate for beginners to understand. Recommended!

By Akinwale Abiola on 11/20/2022

The course content actually made learning R easier with the straight forward approach, also, the explanations are commendable especially data visualization and statistical aspects.

By Rohit Chandel on 7/19/2020

By far, Mr. Martin has been giving out concepts in a very specific and detailed manner which is making me feel that, even though with not much prior knowledge of coding, I would be able to figure things out of it quite well.

By Saviant Trainings on 12/23/2019

I feel I can be successful in R career. The way basic R programming is explained and how it can be used in solving business problem is amazing. Thank you.

By Rasheed Bello on 6/24/2019

Great course. Took me a while due to commitments but Marc is a very skilled instructor taking time through each course. Highly recommended for beginners.

By Bruno Cesar Pasquini on 11/5/2018

For a basic, introductory course, it delivers what it promises, it is well structured and well explained. Sometimes the German accent of the instructor made me return and repeat some points several times until I understand whatever the point was, but it was not a big deal. I recognize the instructor's great effort to be clear and well understood. One improvement suggestion, however: Since Udemy has the differential of allowing the course to be downloaded for offline access on a cell phone, this (and all other) course(s) of R which make use of RStudio should prefer to adopt a DARK color scheme for RStudio (one in which RStudio's background is dark and the letters lighter). It would help much to see better when we take the course on a small screen, in addition to letting the eyes less tired.

By David Lamson on 1/20/2018

Excellent basic R introduction. Also includes much information regarding RStudio utility from the 'didn't know I didn't know' category. Challenging, but clearly presented.

By Vineel Garisa on 3/9/2017

Amazing explanation and easily understandable language. Very excited to learn this course under this instructor. wonderful course work so far, and It would be great if there is a complete course material for beginning to ending. Amazing, even though there are few complicated materials and packages in Rstudio but it is very fun to learn. I have gained enough confidence to learn in depth in R programming.

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Overall Score : 92 / 100

R Basics - R Programming Language Introduction
Visit course on Udemy Write a review
  • Video Duration: icon 4.2h
  • Price: Free
  • Provider: icon Udemy
  • Updated: icon June 2018
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon No
  • Lectures:29 in 3 sections
  • Students:229,600
  • Subtitles:1 language

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