AI for Data Analysts: Text-to-SQL and Plain English Insights

The role of a data analyst is evolving rapidly with the rise of artificial intelligence. By integrating AI into your workflow, you can translate natural language into complex queries and extract insights faster than ever before. This course provides a comprehensive foundation for using modern AI tools to streamline data analysis. You will start with the core concepts of AI-assisted analytics, then move into writing effective prompts to generate SQL, summarize datasets, and structure data narratives. What you will learn: Understand the fundamental terminology of AI and how it applies to modern data workflows. Write effective prompts to translate plain English into accurate SQL queries. Apply AI techniques to clean, transform, and explain data using modern dataframe logic. Explore foundational concepts of Retrieval-Augmented Generation (RAG) to contextualize data queries. Create clear, text-based data narratives that explain complex insights to non-technical stakeholders. The curriculum flows from basic definitions and AI concepts to practical text-to-SQL exercises and data storytelling techniques. You will read through detailed explanations and study real-world code snippets to build your analytical intuition. Designed specifically for beginners and aspiring data analysts, this course requires no prior experience with artificial intelligence or advanced programming. Start reading today to modernize your analytical skills and bring AI into your daily data workflow.