What to Learn After R Programming

R is a free, open-source programming language that Statisticians created for use with statistical computing and data visualization purposes. This versatile language also has applications in the business sector for providing insights into data findings and in the data sciences for helping users evaluate experimental results. If you already know how to use R, you might consider learning other programming languages, such as JavaScript, Go, or Scala. We’ll cover each of these languages below so you clearly understand the skills you’d like to tackle next.

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. 

Programming Languages to Learn After R

Once you’ve learned R, you may consider studying a related programming language, such as the following:

JavaScript

JavaScript is a high-level programming language used on the client side of 98% of websites. This just-in-time, compiled language includes prototype-based object orientation and dynamic typing options. It supports functional, event-driven, and imperative programming styles. It has an array of APIs created to work with standard data structures, dates, text, regular expressions, and the Document Object Model. Programmers around the globe use JavaScript to design interactive web content, such as browsers or apps. JavaScript is the most popular programming language, making it an excellent learning option once you’ve mastered R. 

A great way to receive in-depth instruction on JavaScript is to enroll in Noble Desktop’s JavaScript Development Certificate, which prepares participants for a career in application development. 

Go

Go is becoming an increasingly popular open-source programming language. This language helps users quickly design APIs and CLIs and write programs that safely use cryptocurrency. This language is supported by Google and has an expanding network of community members, partners, and tools. Go was initially created for use in programs involved with infrastructure and networking. It currently offers users an array of applications on both the cloud and server side, as well as command line tools and DevOps. Unlike R, which can be complicated to read and learn, Go was designed to be straightforward to read and learn. Because it has a relatively small feature set, many Go users consider this language largely accessible. 

Scala

Scala is a general-purpose coding language that combines functional and object-oriented programming into a single high-level language. This statically typed language is concise and helps users avoid common problems associated with languages like Java. Scala has a range of applications for expressing common coding patterns safely and elegantly. This language has become widely used among Developers due to how flexible it is in defining abstractions. 

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.

Key Insights

• R is a free, open-source programming language that helps users create stunning graphical representations of data and perform various statistical computing tasks. 
• R uses machine learning to make accurate, data-backed forecasts and includes automated reporting options so that professionals can easily share the findings with others.
• Once you’ve learned R, you may consider studying another programming language, such as JavaScript, Go, or Scala. 
• Noble Desktop's in-person and live online classes are an excellent learning option if you’re interested in learning more about R programming or the field of data science.