R Tutorial For Beginners 2024 | R Programming Full Course In 7 Hours | R Tutorial

So, you’ve decided that you want to learn R or you want to get familiar with it, but don’t know where to start? Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programming?

Then, this course was designed just for you!

Hear what other students have to say first:

“I came to this course after an online university course *cough coursera cough* left me crying. The entire curriculum that this class covers was what they covered in week 1, and from what I’ve heard, R has a very steep learning curve. The extra time taken to even walkthrough installation is clearer here. It is much appreciated. You get lots of opportunities to practice, follow along, and really build your knowledge step by step.” 5 star review by a Udemy user

“A really really good course for beginners in R, highly recommended. Everything is well explained in detail and enough coding exercises to get you familiarize with concepts before moving to the next section.

Thanks for this Ivo, appreciated.” 5 star review by a Udemy user

“Easy to understand, calm and clear explanation. Covered points which are ignored by other tutors. Great” 5 star review by a Udemy user

This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:

1. Introductory slides lectures with the most well-known commands for each type of R object.
2. Code along lectures where you will see how we can implement the stuff we will learn!
3. Test your knowledge with questions and practical exercises with different levels of difficulty!
4. Analyze real datasets and understand the thought process from question to R code solution!

This course was designed to be focused on the practical side of coding in R – instead of teaching you every function and method out there, I’ll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.

At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.

Here are some examples of things you will be able to do after finishing the course:

• Load CSV and Excel files into R;
• Do interesting line plots that enable you to draw conclusions from data.
• Plot histograms of numerical data.
• Create your own functions that will enable you to reutilize code.
• Slice and dice Data Frames, subsetting data for specific domains.

Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language.

This course will be constantly updated based on students feedback.