Data Analytics Foundations with Generative AI

In today's data-driven world, the ability to analyze information quickly and accurately is more critical than ever. Generative AI is transforming how we work with data, allowing analysts to write queries, clean datasets, and generate insights faster than traditional manual methods. This text-based course bridges the gap between classic data analytics and modern AI-assisted workflows, giving you a competitive edge. You will start with the fundamental concepts of data structures, statistics, and exploratory data analysis before moving on to practical applications with modern tools. By the end of this course, you will confidently use Python, SQL, and generative AI prompts to solve real-world data challenges and present actionable business insights. What you'll learn: Understand core data analytics concepts, statistical foundations, and data lifecycles; Write and optimize SQL queries using AI-assisted prompt engineering; Clean and prepare messy datasets using modern Python libraries like pandas; Use generative AI to explain complex code, debug errors, and suggest analytical approaches; Apply data visualization principles to communicate findings clearly to stakeholders. The course begins with essential definitions and foundational theories, gradually guiding you through step-by-step written tutorials and structured analysis exercises. This course is designed specifically for beginners with no prior coding or data analysis experience. Start your journey into the future of data analytics today.