Are you looking to learn R programming? If so, this open-source language is free to download and use. R has a range of applications in data science, data analytics, data visualization, and statistical computing. Beyond this, you’ll want to consider the cost of R programming training. Educational options at different price points are available for those who want to study R. Free online videos and tutorials are available for beginner-level study. In addition, bootcamps and classes are available, typically costing several hundred dollars. For those interested in a more intensive course of R study, certificates in this programming language generally cost several thousand dollars. Read on to learn more about how much you can expect to spend on learning R programming.

What is R Programming?

R is a programming language that statisticians created for statistical data analytics. This popular language has a range of applications for performing statistical computing and creating data visualizations. It is often used by Data Scientists, Business Analysts, Data Analysts, and those working in academia or science for tasks specifically involving statistical analysis. R is currently available for free and can run on Windows and Mac OS, as well as a variety of UNIX platforms and related systems.

R provides users with a range of graphical and statistical techniques, such as time-series analysis, clustering, classification, and linear and nonlinear modeling. One of the benefits of working with R is that it simplifies the process of creating publication-quality plots, especially those that incorporate formulas or mathematical symbols. This versatile language includes a fully integrated suite of software tools, such as a data storage and handling facility, operations for performing calculations on arrays, an extensive, integrated set of data analytics tools, and graphical tools designed to analyze and visualize data.

Read more about what R programming is and why you should learn it.

What Can You Do with R Programming?

R was created to primarily help with graphics and statistical computations. This language can accomplish various tasks, from data storage to data analysis to generating statistical models. Of all the available programming languages, R is considered to be the one with the most tools devoted exclusively to statistics. This language can aid with descriptive statistics tasks, like calculating standard deviations and designing models for mapping linear regression.

One of R’s most useful features is its ability to help users create customized data visualizations and dashboards. Some consider R’s ggplot2 package the best data visualization tool available. This package allows users to draw nearly any plot they can conceive. In addition, those who wish to take their data visualizations in R to the next level can combine ggplot2’s syntax with Plotly’s interactive features to make dashboards that are as engaging as they are interactive. 

R draws from various machine learning tools so that users can make accurate, data-driven predictions. Users can select from an array of machine learning models, which have applications for creating predictive models, such as movie recommendation systems and churn models. In addition, R users can automate reporting by using R Markdown documents. R Markdown offers a straightforward, accessible syntax to generate various reports, such as presentations, books, or other written documents. This helps R users easily communicate data analysis results with others. 

In-Depth Review of the Training Cost

When deciding which learning format is best for your study of R programming, the cost will likely be a consideration. The most expensive study option is a four-year degree from a college or university in computer programming, data science, or a related field. Typically, a degree costs tens of thousands of dollars a year. While this learning format provides many perks, such as access to skilled instructors and professors and the use of a computer lab with the most up-to-date software, it also involves studying other topics besides programming, like general education requirements and other classwork dictated by your major or college. 

Another excellent learning option for those who seek intensive R study is to enroll in a certificate program. Certificate study is offered in both the in-person and live online format, allowing participants to connect with expert instructors in real time to receive immediate feedback and answers to questions as they arise. Certificate study generally spans several weeks or months and may include added perks, such as one-on-one mentoring, hands-on training, and small class size. Certificates in R or related fields generally cost several thousand dollars. They are an excellent learning option for individuals interested in beginning a new data-related profession or filling a skill gap in their current job. However, it’s essential to consider that this form of study often requires students to attend regularly scheduled class meetings, which can mean having to take off work to commute to and from campus several times a week.

Bootcamps and other R programming classes are also available from top educational providers. These courses are shorter in duration than a certificate and often span days or weeks. These courses are generally less expensive than certificate study, costing several hundred dollars, which makes them a more affordable learning option. In addition, because so many different courses are available in R programming and related data fields, learners can select the one best suited to their learning goals and needs, such as a course that focuses exclusively on using R for statistical computing.

Another form of R training that you may consider is self-paced R study. Unlike in-person or live online R classes and certificates, asynchronous R content is typically pre-recorded. This means that instead of attending regularly scheduled class meetings to learn course material, participants complete lessons as their schedule permits. This makes on-demand study a popular alternative for those who need to balance learning R with full-time employment and family commitments. This flexible learning format also affords students the perk of studying from any location at any time. Videos can be paused and rewound as necessary to facilitate note-taking and to help learners revisit complex concepts.

Additionally, self-paced R study is often the most affordable learning type. Some educational providers even offer free tutorials, YouTube videos, and other course content. However, it’s important to be aware that on-demand R study doesn’t include access to an instructor, which can make it difficult to find answers to programming questions. For this reason, online tutorials are a great starting point when learning R. Still, if you’re looking to master more complex programming concepts, you may be better off selecting a learning environment in which you can access an instructor.

Free Introductory R Programming Course Online 

Are you looking instead for an overview of R programming before diving into an entire course? If this sounds like you, you can begin learning about R programming and other core data science concepts for free online. In this free Intro to Data Science seminar offered by Noble Desktop, you’ll receive an 80-minute overview of how Python is used in data science. This webinar covers the advantages of working with Python in data science and an introduction to the field of data science. This seminar is a great way to learn about data science before enrolling in a class or certificate program.

Other top educational providers also provide free beginner-friendly R materials. Coursera’s R Programming is a fully online, intermediate-level R class that spans 57 hours. Participants learn how R is used for data analysis and different practical issues that can occur in statistical computing, such as using R loop functions and debugging tools. Udemy’s R Basics: R Programming Language Introduction is a free, beginner-friendly class in which participants study how to navigate the RStudio interface, create basic graphs, and execute common commands using R. Udemy also offers a business-specific R course: learn R for Business Analytics. Those enrolled receive instruction on how to leverage R for business analytics. Topics covered include leading packages into R, importing data into R, and running various macros with this programming language.

Read more about free R programming videos and online tutorials.

Learn R Programming with Hands-on Training at Noble Desktop

Noble Desktop has several excellent learning options for those new to R and courses for more advanced programmers interested in mastering complex R skills. Noble’s Data Analytics with R Bootcamp is an immersive class designed to take participants from the basics of coding to a portfolio showcasing your experience working with R. Those enrolled receive expert instruction and can retake the class for up to one year to brush up on course materials. 

Noble also offers a variety of in-person and live online coding classes that prepare participants to become Data Scientists or Web Developers. Courses are available in popular programming languages such as JavaScript and Python, as well as front end and full stack web development. Certificates are also offered in software engineering and data science. For students seeking instruction about using programming for finance technology, Noble currently has a FinTech bootcamp available as well, which includes one-on-one mentoring for all participants.

In addition to the variety of programming courses Noble teaches, this top educational provider also has several in-person and live online Data Analytics classes. Noble’s Data Analytics Technologies Bootcamp is a beginner-friendly course that prepares students to work with core data analytics tools like SQL, Excel, and Tableau. In addition, a certificate in data analytics is also available for those interested in becoming a Business Analyst or Data Analyst. This rigorous learning opportunity prepares students to perform data analysis, statistical analysis, and data visualization, as well as how to use relational databases. All students receive one-on-one mentoring to help with their learning process.