R Basics – R Programming Language Introduction
Learn the essentials of R Programming – R Beginner Level!
What you’ll learn
R Basics – R Programming Language Introduction
- You will learn how to navigate 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
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Genuine Interest in statistical programming
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Computer ready to run R and RStudio
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Basic understanding of statistics and data structure
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NO prior knowledge of 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 getting 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 is 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 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 to 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 are 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
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