Introduction to AI for Data-Driven Decisions

Organizations generate massive amounts of data, but turning raw numbers into actionable insights can often feel overwhelming. Generative AI offers a powerful, accessible way to bridge the gap between complex datasets and strategic business choices. This text-based course guides you through the fundamental concepts of using AI to understand and analyze organizational data. You will learn how to translate business problems into clear research questions, identify key variables, and use modern AI assistance to extract meaningful patterns. By combining foundational data literacy with current AI capabilities, you will build the confidence to support your ideas with evidence. What you'll learn: • Understand foundational data concepts, including predictors, outcomes, and different variable types. • Formulate effective research questions to guide a structured data analysis process. • Apply modern prompt engineering techniques to help AI accurately interpret and summarize datasets. • Identify trends and generate actionable insights to support logical organizational decisions. • Practice responsible AI usage and data privacy principles when handling business information. The curriculum begins with essential terminology and core definitions of data analysis before moving into practical, written exercises on applying generative AI to analytical scenarios. You will read through step-by-step methodologies for structuring inquiries and interpreting AI-assisted results. Designed specifically for beginners and non-technical professionals, this course requires no prior experience in data science, programming, or artificial intelligence. Start reading today to transform how you approach data and drive smarter decisions with AI.