GenAI for Data & Analytics

About this course

Generative AI is transforming modern data analytics, enabling organizations to move beyond traditional reporting toward faster, more accurate, and actionable business insights. This hands-on course, GenAI for Data & Analytics explores how leading AI tools for data analytics, including ChatGPT, Google Gemini, Python, and Google Colab, can be integrated into the CRISP-DM framework to enhance 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, this AI for Data Analytics course demonstrates how large language models (LLMs) accelerate analytics workflows, improve productivity, and support responsible AI adoption while delivering measurable business outcomes. Through practical demonstrations, hands-on exercises, and real-world business scenarios, you will learn how to use AI for data analytics by applying prompt engineering, AI-assisted data analysis, Python for data analytics, and data storytelling to solve complex business problems and communicate insights effectively. You'll discover how using Generative AI for data analytics strengthens collaboration between technical and business teams, streamlines decision-making, and enables more efficient, data-driven strategies. By the end of the course, you'll be equipped to confidently use AI-powered analytics tools to transform data into meaningful insights, support business decisions, and create lasting organizational value.

Course objectives

• demonstrate how AI accelerates analytics workflows
• support responsible AI adoption
• strengthen collaboration between technical and business teams
• streamline decision-making based on data-driven strategies