Data Cleaning with AI for Beginner Analysts

Dealing with messy, inconsistent data is one of the most time-consuming challenges for any aspiring analyst. This course teaches you how to leverage Artificial Intelligence to streamline the data cleaning process. You will learn how to take raw, unstructured information and transform it into reliable, organized datasets ready for deeper analysis. What you will learn: • Understand fundamental data quality concepts and identify common dataset anomalies. • Apply prompt engineering techniques to instruct AI models to format and standardize text. • Extract structured tables from messy, unstructured data using Large Language Models (LLMs). • Handle missing values and inconsistencies with AI-assisted imputation strategies. • Practice modern data validation techniques to ensure accuracy and reliability. The curriculum begins with essential data terminology and the core principles of AI-assisted data processing. You will then move through step-by-step written exercises that tackle real-world data structuring challenges. Designed for beginner analysts, this text-based course requires no prior programming or advanced technical background. Start mastering AI data cleaning techniques today and build a solid foundation for your analytical career.