R Programming – R Language for Absolute Beginners (2022)

  • Course level: Beginner
  • Categories Development
  • Total Enrolled 0
  • Last Update February 8, 2022

About Course

R Programming course suitable for everyone, no coding experience or a statistics background needed


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!

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.

What Will I Learn?

  • Installing R and R Studio
  • Manipulating R Vectors, Arrays and Matrixes
  • Manipulating R Data Frames
  • Plotting Data Using R
  • Analyzing Real Datasets using R
  • Organizing your Code in R
  • Develop your own Functions in R

Topics for this course

11 Lessons

01. Why Use R_

002 Why use R00:00:00

02 – How to download and install R and R studio

03 – Import data and install packages

04 – Data manipulation

05 – Statistical analysis (an example)



  • Computer with at least 4GB Ram