Building AI Agents for Data Analysis

Data analysis is evolving rapidly with the rise of artificial intelligence. Imagine having an automated assistant that can instantly process datasets, identify trends, and answer complex questions about your data. This course teaches you how to build your own AI-powered data analyst from the ground up. You will start with the foundational concepts of artificial intelligence and large language models, eventually writing the logic and prompts needed to create intelligent agents that handle routine analytical tasks. What you'll learn: - Understand the fundamental architecture of AI agents and how they process information. - Apply modern prompt engineering techniques specifically tailored for structured data. - Build automated workflows to explore, clean, and summarize complex datasets. - Integrate basic AI tool-calling patterns with common data manipulation libraries. - Practice retrieval-augmented generation (RAG) concepts for accurate data querying. - Design text-based instructions to guide your AI agent through multi-step analytical tasks. The curriculum flows from basic AI terminology to hands-on, written coding exercises. You will read through step-by-step explanations and practice building agent logic using modern data analysis patterns. Designed for beginners, this course requires no prior experience with AI development, though a basic familiarity with data concepts is helpful. Start building your automated data assistant today and transform the way you interact with information.