Topic 1. Data Analysts Need AI for Data Analytics
Introduction AI for Data Analytics and the data landscape is evolving rapidly, and Artificial Intelligence (AI) tools like ChatGPT, Google
AI for Data Professionals, Courses
AI for Data Professionals
This hands-on course teaches data professionals how modern AI — especially large language models (LLMs) like ChatGPT and Google Gemini — integrates into analytics workflows. You’ll start with the AI landscape and history, move into how generative AI and transformers work, and learn practical access and usage for ChatGPT/Gemini. The core of the course focuses on safe, productive use: identifying common pitfalls (hallucinations, context gaps, black-box issues), verifying AI outputs, and applying LLMs to real analyst tasks (code/formula generation, query optimization, visualization guidance, data cleaning, and sample-data generation). The final section teaches prompt engineering (clarity & specificity, role assignment, tone & audience, iterative refinement) with concrete examples in Excel, SQL, Python, and BI tools so you can get reliable, high-value results from AI today.