Generative AI for Data Analysts

As data volume grows, traditional analysis methods can become bottlenecks. Integrating generative AI into your data workflow allows you to query databases, clean messy datasets, and generate analytical code in a fraction of the time. This text-based course guides you through the foundational concepts of artificial intelligence and demonstrates how to apply large language models to everyday data tasks. You will transition from manual data manipulation to AI-assisted analysis, learning how to write effective prompts and integrate AI tools safely into your existing data pipelines. What you'll learn: - Understand the fundamental mechanics of generative AI and large language models for data processing. - Apply prompt engineering techniques to generate, debug, and optimize SQL queries and Python code. - Clean, transform, and structure raw data efficiently using AI-assisted workflows. - Explore Retrieval-Augmented Generation (RAG) concepts to query unstructured data sources safely. - Analyze data privacy, governance, and security considerations when utilizing AI tools with sensitive business data. You will start with core AI concepts and terminology before moving into practical text-based exercises. Through guided written explanations and code examples, you will learn to utilize AI for automated reporting, code generation, and data synthesis. This course is designed specifically for beginner data analysts, business analysts, and data enthusiasts. No prior experience with artificial intelligence or advanced programming is required. Begin reading today to transform your analytical workflow with the power of generative AI.