R - Learn Data Science with Travis - your AI-powered tutor (2024)

FAQs

Do I need to learn R for data science? ›

Both languages are well suited for any data science tasks you may think of. The Python vs R debate may suggest that you have to choose either Python or R. While this may be true for newcomers to the discipline, in the long run, you'll likely need to learn both.

They're both very powerful languages, so the answer has a lot to do with what you intend to do. If you're primarily looking to create and visualize statistical models, R will be the better choice. If your project goes beyond statistics, Python will offer you far more possibilities.

R is an advanced language that performs various complex statistical computations and calculations. Therefore, it is widely used by data scientists and business leaders in multiple fields, from academics to business. Moreover, R interprets the data in a graphical form, making it easy to interpret and understand.

Some of the specific areas of AI where you can utilize R for building applications include computer vision, natural language processing, and predictive modeling.

Performing statistical analysis in R is a valuable skill for aspiring data analysts to learn in 2024. R provides a wide range of functions and packages that make it easier to prepare data and perform complex analyses.

For learners who wish to master R as quickly as possible, it will take several hours a day of structured learning to become comfortable with this language in just a week or two.

R is considered by most to be a relatively difficult programming language to learn. One factor contributing to this difficulty is the sheer number of commands R users must learn.

R can't be used in production code because of its focus on research, while Python, a general-purpose language, can be used both for prototyping and as a product itself. Python also runs faster than R, despite its GIL problems.

Brand new programmers may take six weeks to a few months to become comfortable with the R language. Three months is generally enough time for any new programmer to use the language and start applying it in their professional life. By setting a goal with Pluralsight's Skills app, you learn at your own pace.

R the application is installed on your computer and uses your personal computer resources to process R programming language. RStudio integrates with R as an IDE (Integrated Development Environment) to provide further functionality. RStudio combines a source code editor, build automation tools and a debugger.

What language does R use? ›

R software is open-source and free software. It is licensed by the GNU Project and available under the GNU General Public License. It is written primarily in C, Fortran, and R itself.

How was R created and how did it become so popular? R was created by statistician Ross Ihaka and statistician and bioinformaticist Robert Gentleman from the University of Auckland in 1992 on the basis of the programming language S. The first official stable version (1.0) was released in 2000.

ChatGPT can answer questions about a wide range of technology subjects, including how to write R code. That means ChatGPT's power is available to every R programmer, even those who know little about large language models.

Building applications might seem like a very high-end programming level skill, and something which requires knowledge of expert coding languages such as Java, HTML, or C+. However, the Shiny package for R makes developing and publishing our own applications very simple, and only requires a basic knowledge of R to use.

Even though data science jobs frequently require coding, especially in languages including Python and R, it is still feasible to begin this career path without any prior coding knowledge.

Python currently supports 15.7 million worldwide developers while R supports fewer than 1.4 million. This makes Python the most popular programming language out of the two.

R is popular among data analysts and research scientists as it helps them import and clean data and perform effective quantitative analyses. Moreover, R coding was among the top five programming languages of the year as of August 2021. Apart from this, many reasons make R so useful.