AI Workflows for Data Analysts Build Context, Prompts, and Reliable Insights
Released 9/2026
With Amney Mounir
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 46m | Size: 208.5 MB
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
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