Data Cleaning with Generative AI: Automate Your Data Prep Workflow

Data professionals spend a significant portion of their time fixing messy, inconsistent datasets instead of analyzing them. By integrating generative AI into your data pipeline, you can automate repetitive data preparation tasks and focus on extracting valuable insights. This text-only course guides you through utilizing large language models to identify anomalies, standardize formats, and parse unstructured text into clean, structured datasets. You will learn to transition from manual editing to smart, AI-driven automation. What you'll learn: - Understand foundational data cleaning concepts and how generative AI models interpret unstructured text. - Apply prompt engineering techniques to standardize inconsistent dates, addresses, and categorical data. - Create Python scripts that leverage AI APIs to automate complex deduplication and text formatting. - Configure validation checks to ensure AI-generated data meets strict structure and quality standards. - Practice parsing messy, semi-structured documents into clean tabular formats. The course begins with core data quality definitions and basic API concepts before advancing to practical script integrations and prompt patterns. You will read through clear explanations and study structured code examples that demonstrate how to combine standard data libraries with modern AI workflows. Designed for beginner data analysts and database administrators, this course requires only basic programming familiarity. Start reading today to transform your data preparation workflow with the power of generative AI.