Yes You Can Learn R Without Programming Background, Here's How!

Yes You Can Learn R Without Programming Background, Here's How!

  • Blog
  • 5 mins read

In the world of data analytics, R is a popular programming language used for statistical analysis and data visualization. If you’re interested in learning how to use R for your own projects, but aren’t quite ready to commit to a coding career just yet, we have good news: You don’t need to know how to program in order to learn and use R! Even without previous experience or knowledge of computer science, you can still learn the fundamentals of R by focusing on its syntax. This post will teach you everything you need to know. Let’s get started.

What is R?

Start by understanding R’s background and intended uses as a language. R was developed in the 90s as a programming language for statistics and data analysis. Just like most programming languages, R has its own syntax and vernacular that you need to understand in order to use it properly. The R language has since become one of the most popular programming languages in the data science industry, and is even used in fields outside of data science.

For example, doctors use R to analyze medical data and create visualizations, businesses use R to analyze marketing data and create forecasts, and schools use R for statistical analysis and data visualization. The language itself is free and open source and available for use on all operating systems.

Is R Programming Easy?

R is a language that has a higher learning curve than other languages, but it’s not impossible to learn if you’re new to it. You should expect to spend between one and two hours per day learning the basics of R. As you progress, it’s important to set time aside for practice. The more you write code in R, the more you’ll learn about its nuances.

There are tons of online tutorials and resources available if you decide to learn R. It’s also worth considering a paid program if you’re not sure where to start. Many programs offer crash courses on the fundamentals of R.

The key to keeping yourself motivated through the learning process is to keep your eye on the prize. Why do you want to learn R? Do you want to build your own models and visualizations? Do you want to create your own data visualizations for an article or blog post? Whatever your answer may be, remember why you’re learning R in the first place and you’ll be more likely to see the process through to the end.

Learning the Basics of R Syntax

Before you can use R for data analysis, you need to understand its syntax. For example, every R statement must end with a semicolon. In addition, you need to understand the principles behind each of the core R elements. Knowing these basics will enable you to better understand the syntax and structure of R code. Plus, it’ll help you avoid the most common syntax mistakes.

Here are the basics you’ll need to know to start writing your first R code:

  1. Data Types - R uses data types to inform the computer about your data. For example, you’ll want to tell R that an integer is a number (between 0 and 2147483647).
  2. Expressions - The syntax behind R expressions is used to group together data types, variables, and functions used for analysis. You’ll use expressions to attach values to variables for use in subsequent code.
  3. Functions - R uses functions to perform calculations and create visualizations. You can also use functions to create entirely new functions.
  4. Statements - R uses statements to tell the computer which functions to use, how to use them, and what data to include.

Using R to Advance Your Career

R is a valuable skill to have on your resume, but you can also use it to advance your career. The best way to apply your R knowledge is by creating projects and solving problems alongside other data analysts and data scientists.

Here are a few ways you can put your R skills to use: -

  1. Create your own data visualizations. Creating visualizations with R saves time and money compared to creating them from scratch. Moreover, you can customize charts and graphs to meet specific requirements.
  2. Create your own models and analyses. Once you’ve learned how to use R and have become proficient with the language, you’ll be able to create your own models and analyses. This is a great way to showcase your skills and stand out compared to other candidates.
  3. Improve collaboration with data scientists. Working alongside data scientists and collaborating on projects is a great way to get experience. It’ll also help you to learn as you go and pick up new skills along the way.
  4. Create your own code and visualizations. Once you’ve mastered R, you’ll be able to create and edit code that meets your specific needs. This is a great skill to have on your resume and will help you stand out.
  5. Create tutorials and educational resources. As you learn more, you’ll also be able to share your knowledge with others. Creating tutorials, educational resources, and other online content is a great way to give back to the community.


R is a popular programming language used for statistical analysis and data visualization. In order to use R, you first need to understand its syntax. The best way to learn R is by taking an online course or reading a crash course. Once you’ve learned the basics of R, you can apply your skills by creating your own data visualizations, analyses, and models. You can also use R to advance your career and improve collaboration with data scientists. So, don't have a programming background? Don't worry! You can still learn R with a little bit of focus on its syntax.