Applied AI in Data Analytics

Simon Fraser University’s Continuing Studies Applied AI in Data Analytics program empowers analysts, researchers, and data professionals to navigate the evolving landscape of data-driven decision-making. As organizations contend with massive volumes of structured and unstructured data—from text and images to audio—traditional analytics tools often fall short. This program addresses that gap, helping learners understand when, where, and how to apply AI effectively, without being overwhelmed by complex coding or technical barriers. Participants gain practical experience using no-code and low-code AI tools to automate repetitive tasks, enhance data workflows, and extract actionable insights from diverse datasets.

Through a hands-on, immersive curriculum, learners build the skills to identify practical AI applications, streamline data preparation and modeling, and translate AI-generated insights into clear recommendations for stakeholders. The program covers foundational concepts in AI, techniques for exploring, transforming, and analyzing data, and the creation, deployment, and optimization of AI models using accessible tools. By strengthening data-driven reasoning and fostering confidence with AI integration, the Applied AI in Data Analytics program positions participants to lead in analytics initiatives and drive tangible business outcomes.

Admission Requirements

• Minimum of 2 years of experience in a Technical role.

What You’ll Learn

• Identify where and how to apply AI effectively in data analytics workflows.
• Explore, prepare, and transform data using AI-powered techniques.
• Build, deploy, and tune AI models with no-code and low-code tools.
• Automate repetitive data processing tasks to save time and reduce errors.
• Translate AI-generated insights into actionable recommendations for stakeholders.
• Strengthen data-driven reasoning to support better business decisions.