You’ll begin by exploring the fundamentals of data literacy: how to locate, interpret, and analyze data to uncover patterns and tell compelling stories through visualization and evidence-based reasoning. Building on this foundation, the course introduces key concepts in AI through engaging, hands-on activities that require no coding experience.

Together, we’ll demystify commonly used AI terms such as machine learning, deep learning, explainable AI, natural language processing and generative models. You’ll also examine real-world AI applications in health care, business, and everyday life, understanding how organizations can become AI-driven and what ethical, social and governance challenges accompany this transformation.

By the end of the program, participants will gain a clear understanding of how data and AI intersect to create insight, innovation and impact— equipping you to navigate an increasingly data- and AI-driven world with confidence.

Specific outcomes:

• The essential role of data and AI in shaping today’s digital economy.
• How to collect, interpret and communicate data effectively.
• Foundations of AI concepts and how they influence modern tools and decisions.
• The four types of analytics and their use in problem-solving.
• Ethical and societal considerations in data and AI adoption.
• How visualization and storytelling enhance data and AI communication.