AI for Data Science: Modern Workflows and Tools

Integrating artificial intelligence into data science workflows allows analysts to clean data faster, generate analytical code efficiently, and uncover deeper insights from complex datasets. This course guides you through foundational data science principles enhanced by modern AI tools. You will build a practical understanding of how to leverage AI assistance for everyday data tasks, turning raw data into actionable intelligence through structured analytical methods. What you'll learn: - Understand fundamental data science terminology, data types, and core analytical workflows - Apply modern AI prompts to write, debug, and optimize Python data manipulation code - Clean, preprocess, and validate datasets using automated assistance - Perform exploratory data analysis to discover trends, outliers, and patterns - Understand basic predictive modeling concepts and feature preparation techniques - Practice generating clear, data-driven summaries and structured analytical reports The course begins with foundational concepts, key vocabulary, and basic principles before moving into practical text-based walkthroughs and written exercises. This course is built for beginners, aspiring data practitioners, and professionals looking to adopt modern AI-assisted data workflows with no prior programming experience required. Start reading to build practical data science skills powered by modern AI.