GenAI for Data & Analytics

Generative AI is reshaping data analytics, enabling organizations to move beyond traditional reporting toward faster, more accurate, and actionable business insights. This hands-on course explores how ChatGPT, Google Gemini, Python, and Google Colab can be integrated into the CRISP-DM framework to improve every stage of the analytics lifecycle—from business understanding and data preparation to predictive modeling, visualization, and stakeholder communication. Designed for data analysts, business analysts, BI developers, data scientists, and decision-makers, the course demonstrates how large language models (LLMs) accelerate analytics workflows while supporting responsible AI adoption and measurable business outcomes. Through practical demonstrations, hands-on exercises, and real-world business scenarios, you will learn how to apply prompt engineering, AI-assisted data analysis, Python for data analytics, and data storytelling to solve business problems and communicate insights effectively. You will also explore how Generative AI enhances collaboration across technical and business teams, improves productivity, and strengthens data-driven decision-making. By the end of the course, you will be equipped to use AI-powered analytics tools to transform data into meaningful insights that create lasting business value.