October 27, 2026 | Quebec

Making Data Meaningful Through Visualization

Organizations accumulate considerable amounts of data about their activities, customers, finances, and operations. However, that data has limited value if it remains difficult to interpret.

Power BI can transform data from different sources into interactive reports and dashboards that make information easier to explore and understand. Users can track indicators, compare results, and identify trends more easily.

In CDI College's Artificial Intelligence Specialist – LEA.E3 program, students learn to use Power BI for data visualization, data modelling, and report and dashboard creation.

Why Visualize Data?

A file or database containing thousands of values can be difficult to interpret. A visual representation can make certain information much easier to identify.

A chart can, for example, show how an indicator changes over time, compare several categories, or reveal a trend that may be less obvious in a table filled with numbers.

However, data visualization is about more than creating attractive charts. It requires choosing a representation that suits both the data and the information you want to communicate.

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

Connecting Different Data Sources

The information an organization needs is not necessarily stored in one place.

Power BI can work with different data sources and bring together the information needed for an analysis. Before creating a meaningful report, it is therefore important to understand how to access, import, and prepare data.

The Power BI course in the Artificial Intelligence Specialist – LEA.E3 program covers connecting to data sources and transforming data using Power Query.

This preparation is essential: a dashboard can only provide reliable information when the underlying data has been properly structured.

Power Query: Preparing Data Before Analysis

Data from different sources is not always immediately ready to use. Formats may vary, information may need to be reorganized, and multiple datasets may need to be combined.

Power Query can be used to perform a variety of data preparation and transformation operations before analysis.

This step illustrates an important principle in data science: the final result depends not only on the visualization tool being used, but also on the work done beforehand to make the data usable.

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

Building a Data Model

Creating a report from multiple datasets also requires understanding how those datasets relate to one another.

Data modelling organizes these relationships so Power BI can use the information effectively. The curriculum covers data modelling and the creation of relationships and hierarchies.

This step goes beyond simply creating charts. It involves building a structure that can then be used to perform different types of analysis.

Using DAX for Data Analysis

Power BI can also perform calculations using data.

The program covers DAX (Data Analysis Expressions), a language for creating measures and calculations in Power BI data models.

This makes it possible to create indicators that do not appear directly in the original data but are derived through analysis.

This capability can be particularly useful when a dashboard needs to track specific indicators or compare different aspects of an organization's activities.

Creating Interactive Reports and Dashboards

Once data has been prepared and modelled, Power BI can present it in different visual formats.

Charts, indicators, tables, and other elements can be combined into reports that allow users to explore information. Interactive features can also allow users to filter results or examine data from different perspectives.

The Power BI course specifically covers the creation of reports, dashboards, and interactive visualizations.

👉 Learn more: Artificial Intelligence in Business: How Data Supports Strategic Decision-Making

From Data to Decision-Making

The value of a dashboard does not depend on how many charts it contains. What matters most is its ability to present relevant information in a way that people can understand.

A dashboard can be used to track changes in indicators, identify variations, and compare different periods. This makes information more accessible to the people who need to use it in their work.

This directly reflects one of the objectives of the Artificial Intelligence Specialist – LEA.E3 program: transforming data into information that can support decision-making within organizations.

Power BI in Artificial Intelligence Training

Power BI does not, by itself, represent the full scope of artificial intelligence work. Instead, its inclusion in the training helps students develop a complementary skill: presenting and effectively using data-derived information.

In the Artificial Intelligence Specialist – LEA.E3 program, this learning complements areas such as data analysis, statistics, databases, Python, R, Tableau, machine learning, and deep learning.

Students can therefore explore different stages of working with data, from preparation and analysis to communicating the results.

FAQ

1. What is Power BI used for?
Power BI can be used to connect, prepare, model, and visualize data to create reports and interactive dashboards. These tools can make it easier to explore information and track different indicators.

2. What do students learn about Power BI in the Artificial Intelligence Specialist – LEA.E3 program?
The curriculum covers connecting to data sources, transforming data with Power Query, data modelling, relationships and hierarchies, using DAX, and creating reports, dashboards, and interactive visualizations.

3. Why is Power BI relevant to artificial intelligence training?
Artificial intelligence and data science involve more than developing models. Results also need to be interpreted and communicated. Power BI can present data and indicators visually, making information easier to understand and use.

Explore Further

👉 Artificial Intelligence: Understanding the Field and Career Opportunities

👉 Expert Systems and Artificial Intelligence: Tools for Decision-Making

👉 Hands-On Artificial Intelligence Projects: Learning by Doing

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