October 19, 2026 | Quebec

A Language Designed for Working With Data

When it comes to programming in artificial intelligence, Python often takes centre stage. However, it is not the only language used to work with data. R is particularly well-suited to statistical computing, data analysis, and visualization, which explains why it is used in various data science contexts.

In CDI College's Artificial Intelligence Specialist – LEA.E3 program, one course is specifically dedicated to R. Students explore programming, data manipulation and visualization, statistical methods, and certain machine learning applications.

Why Use R for Data Analysis?

Before conclusions can be drawn from data, it generally needs to be imported, organized, transformed, and explored.

R makes it possible to perform these different operations within a single environment. The R course in the Artificial Intelligence Specialist – LEA.E3 program covers data types and structures, functions, conditional statements, loops, and data import and export.

These skills allow students to gradually move from raw data to information that can be analyzed.

👉 Learn more: Data Analysis in Artificial Intelligence: Understanding, Structuring, and Interpreting Information

Manipulating and Transforming Data

Data used in a project is not always immediately ready for analysis.

It may be necessary to select specific observations, modify data structures, group information, or perform different calculations before the analysis itself can begin.

The R course, therefore, includes tools for manipulating and transforming data, including functions from the tidyverse collection of packages.

This step is important because the quality of an analysis depends in part on how the data has been prepared.

Using Statistics to Interpret Information

R is closely associated with statistical analysis. This is particularly relevant in data science, where statistics can be used to examine distributions, explore relationships between variables, and test certain hypotheses.

Students in the Artificial Intelligence Specialist – LEA.E3 program encounter statistics in several courses. The R course allows them to apply various statistical methods in R.

The goal is therefore not simply to learn commands: R becomes a tool for applying statistical concepts to datasets.

Creating Data Visualizations With R

An analysis can produce many numbers without necessarily making the results easy to interpret.

Visualization provides a graphical way to represent data and highlight certain trends, relationships, or characteristics. The R course also covers this area, including the use of ggplot2, a data visualization tool.

Visualizations can therefore support both data exploration and the communication of results.

👉 Learn more: Data Visualization and Dashboards: Turning Data Into Useful Information

Can R Be Used for Machine Learning?

R is not limited to statistical analysis and data visualization.

The curriculum also includes an introduction to machine learning with R, including the creation of predictive models.

Data can therefore be prepared and analyzed before being used in models designed to identify relationships or make predictions.

This application connects the statistical foundations of data science to specific uses of artificial intelligence.

👉 Learn more: Machine Learning and Deep Learning in Artificial Intelligence

R Markdown and Shiny: Communicating and Presenting Results

Working with data does not necessarily end with the analysis. Results often need to be presented in a structured way so they can be understood and used.

The R course in the Artificial Intelligence Specialist – LEA.E3 program includes R Markdown and Shiny.

R Markdown makes it possible to combine text, code, and analysis results in a single document. Shiny can be used to develop interactive web applications with R.

These tools demonstrate how a language used for data analysis can also help present and communicate results.

Why Learn R If You Are Already Learning Python?

R and Python do not necessarily need to be viewed as competing languages. They can serve different needs and form part of a broader set of tools used in data science and artificial intelligence.

The Artificial Intelligence Specialist – LEA.E3 program covers both languages. Python is used in the Data Science Programming Techniques courses, while a separate course explores R and its statistical applications.

Learning to work in different environments can therefore provide a broader understanding of how data can be manipulated, analyzed, modelled, and presented.

One of Many Skills Used in Artificial Intelligence

R is much more than simply another programming language. Its focus on data and statistics makes it a relevant tool for exploring information, conducting analyses, creating visualizations, and developing certain predictive models.

In the Artificial Intelligence Specialist – LEA.E3 program, learning R is part of a much broader education that also covers databases, statistics, Python, visualization, machine learning, deep learning, and application development.

Together, these areas allow students to explore different tools and methods that may be used throughout a data and artificial intelligence project.

FAQ

1. What is R used for in artificial intelligence?
R can be used to manipulate and analyze data, perform statistical analyses, create visualizations, and develop certain predictive models. In the Artificial Intelligence Specialist – LEA.E3 program, students use R for data manipulation and statistical methods, and receive an introduction to machine learning.

2. What is the difference between R and Python in data science?
Both languages can be used to work with data. In the program, Python is covered in two Data Science Programming Techniques courses. At the same time, R has a dedicated course that focuses on data manipulation and visualization, statistics, and machine learning.

3. What R-related tools are covered in the program?
The curriculum includes tidyverse for data manipulation, ggplot2 for data visualization, and R Markdown and Shiny. The course also covers statistical methods and machine learning with R.

Explore Further

👉 Artificial Intelligence: Understanding the Field and Career Opportunities

👉 Programming in Artificial Intelligence: Python, R, and Databases at the Heart of the Training

👉 Hands-On Artificial Intelligence Projects: Learning by Doing

👉 Learn More About CDI College's Artificial Intelligence Specialist – LEA.E3 Program