Learn R | Codecademy (2024)

FAQs

Is it difficult to learn R? ›

R is considered one of the more difficult programming languages to learn due to how different its syntax is from other languages like Python and its extensive set of commands. It takes most learners without prior coding experience roughly four to six weeks to learn R.

Yes. At Dataquest, we've had many learners start with no coding experience and go on to get jobs as data analysts, data scientists, and data engineers. R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up.

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.

It is very well known that Excel has a data storage limitation per spreadsheet. It can have a very limited amount of columns and rows, while R is made to handle larger data sets. Excel files are also known to crash when they exceed 20 tabs of data. Excel is able to handle a good chunk of data, but not much.

It supports various libraries and frameworks. In comparison, R is a programming language mainly used for Statistics and Data Analysis. It is easier than C++ to learn for beginners.

SQL is generally easier to learn for beginners, especially those with no programming background. R has a steeper learning curve but offers more flexibility and depth in data analysis and visualization.

According to recent data, the R programming language has become the 6th most popular language for 2024. It is widely used for data science, statistical analysis, and machine learning. Additionally, the financial industry uses it for building statistical models.

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.

Although it's essential to look at some different programming careers and the languages they use regularly, R will open opportunities for you to pursue a career in several data analytics and statistics-based positions, such as data scientist, data analyst, data architect, statistician, or data engineer.

Perform statistical analysis in R with functions and packages. 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.

Is R software outdated? ›

The truth is, R is far from dead. While it's true that Python has gained significant traction in recent years, R remains a powerful language that offers unique benefits for data scientists. One of the critical advantages of R is its focus on statistics and data visualization.

As of August 2021, R is one of the top five programming languages of the year, so it's a favorite among data analysts and research programmers. It's also used as a fundamental tool for finance, which relies heavily on statistical data.

R is a free statistical software package heavily influenced by S. It can be installed on Linux, Windows and MacOS.

If you're familiar with Microsoft Excel, or if you work with a lot of data files in Excel format, you might want to run R directly from inside Excel. The RExcel software lets you do just that (on Microsoft Windows systems). You can find information about this software at http://rcom.univie.ac.at/.

Data scientists prefer R due to its analytical efficiency and progressive functionalities. Similarly, software developers, web developers, systems administrators, and software engineers prefer Python due to its popularity and expansive range of libraries.

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.

The learning curve for R varies depending on the depth; one can get first-hand familiarization of the language in a few weeks; nonetheless, profound knowledge, which is required for using R proficiently in elaborate applications and project, may take from several months to a year or perhaps more.

Unlike R and other programming languages, JavaScript does not have as many guides and how-to tutorials available. This means it may take users much longer to solve problems.