Build AI Agents for Data Analysis and Reporting

Analyzing large datasets and creating routine reports can be time-consuming. Imagine being able to ask your data questions in plain English and getting instant, accurate insights. This course teaches you how to leverage artificial intelligence to automate data analytics tasks. You will learn how to conceptualize and build AI agents capable of interpreting natural language queries, interacting with data sources, and generating structured reports. What you will learn: - Understand the core terminology and architecture of modern AI agents. - Practice fundamental prompt engineering techniques tailored for data extraction. - Learn how Retrieval-Augmented Generation (RAG) patterns improve data accuracy. - Design workflows that convert natural language into structured data queries. - Apply AI concepts to automate routine business intelligence reporting. - Explore how AI integrates with modern dataframe libraries for seamless analysis. The course begins with foundational AI definitions before moving into step-by-step written tutorials on agent logic, data querying, and report generation. You will read through practical scenarios and apply your knowledge through text-based exercises. Designed entirely for beginners, this course requires no prior experience in machine learning or advanced programming. Start building smarter data workflows today.