February 5, 2026 | Quebec

Understanding, Preparing, and Analyzing Data Before It Is Used in Artificial Intelligence

Data analysis is an essential step in any artificial intelligence project. Before models can be applied or processes automated, data must be adequately understood, structured, and interpreted. For this reason, data analysis plays a central role in the Artificial Intelligence Specialist – LEA.E3 program at CDI College.

Within this program, students develop these skills through coursework in statistics, business intelligence, and data preparation, enabling them to support artificial intelligence projects in a structured and practical manner.

Strong Statistical Foundations Applied to Professional Contexts

The program emphasizes the statistical foundations required for data analysis in artificial intelligence. Students learn to work with various types of data and apply methods tailored to organizational needs. They develop the ability to:

• analyze data using descriptive statistics;
• interpret distributions, correlations, and trends;
• apply sampling methods and statistical inference;
• recognize limitations and potential biases in data analysis.

These skills support a methodical and critical approach to artificial intelligence projects.

Data Analysis as the Foundation of Artificial Intelligence Projects

In professional environments, a significant portion of the work involves preparing data for use in machine learning models. The program places strong emphasis on this stage. Students learn how to:

• clean and transform datasets;
• manage missing values and outliers;
• structure data to support analysis and modelling;
• ensure data quality, consistency, and reliability.

This preparation is essential for producing meaningful and interpretable results.

Connecting Data Analysis to Artificial Intelligence Applications

Once data has been analyzed and prepared, it can be applied in artificial intelligence contexts. The program encompasses predictive and prescriptive analysis, as well as the application of models tailored to various problem types. Data analysis supports:

• forecasting;
• classification;
• trend identification;
• decision support.

This approach demonstrates how data directly informs practical artificial intelligence solutions.

A Skill Set Valued Across Multiple Sectors

Organizations seek professionals who can analyze and interpret data in a structured manner. The data analysis skills developed in the Artificial Intelligence Specialist – LEA.E3 program at CDI College are applicable across multiple sectors, including services, administration, technology, and public organizations.

Data analysis, therefore, serves as a key foundation for contributing effectively to artificial intelligence and business intelligence initiatives.

👉 Learn more about the Artificial Intelligence Specialist – LEA.E3 program

FAQ

1. Why is data analysis essential in artificial intelligence?
Data analysis ensures that information is understood correctly, structured, and interpreted before it is used in artificial intelligence models.

2. What types of analysis are covered in the program?
The program covers descriptive statistics, statistical inference, predictive analysis, and prescriptive analysis applied to professional contexts.

3. Are these skills functional beyond artificial intelligence?
Yes. Data analysis skills are valuable in many fields, including business intelligence, administration, and technology services.