Data Analytics Foundations with Generative AI Integration

Data analytics is evolving rapidly as generative AI changes how we clean, analyze, and interpret information. To succeed in this field today, you must understand both core statistical principles and modern AI-assisted workflows. This course provides a clear, text-based path to mastering data analytics from the ground up, starting with fundamental concepts before moving into modern practical applications. You will learn how to turn raw data into actionable business insights using industry-standard tools while leveraging AI to write cleaner code and automate repetitive tasks. What you'll learn: - Understand foundational data analysis concepts, statistics, and structured workflows - Write clean Python code using modern dataframe libraries for data manipulation - Use generative AI prompts to accelerate code writing, debugging, and SQL query creation - Clean and prepare messy real-world datasets for reliable analysis - Design clear, accessible data visualizations that communicate insights effectively - Apply basic predictive patterns and modern data modeling techniques This course begins with essential definitions and core methodology, ensuring you build a strong theoretical foundation. You will then progress through structured written modules containing practical scenarios, code examples, and step-by-step analytical workflows. This course is designed specifically for beginners with no prior data analysis or programming experience. Start your journey into data analytics today and build the skills needed for the modern data landscape.