• views: 85
• date: 17 September 2026
• posted by: voska89

Learn how to build a professional AI-augmented analytics workflow by architecting data context, building reusable prompt libraries, and implementing multi-step verification systems.

Course details

Generic AI usage often leads to "hallucinations" and inaccurate results in data analytics. This course moves beyond basic prompting to show you how to architect a high-performance, AI-augmented workflow. Discover how to build data context files that give AI tools a deep understanding of your specific schemas and business definitions. Learn about creating a modular prompt library for SQL generation, EDA, and data cleaning that can be shared across your team. Explore the chain-of-thought method to tackle complex analysis projects with precision, moving from raw data to a finished insight deck with total confidence in your results.

Skills covered

Large Language Models (LLM), Data Analysis, Artificial Intelligence (AI), AI for Data Analysis

Homepage

https://www.linkedin.com/learning/ai-workflows-for-data-analysts-build-context-prompts-and-reliable-insights

   
   
   

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