Introduction to Data Preparation with Copilot

Working with raw data can be time-consuming and prone to errors. Generative AI tools are transforming how professionals clean, format, and evaluate datasets, turning hours of manual labor into efficient, conversational workflows. In this text-based course, you will learn how to leverage Copilot to automate tedious data preparation tasks and uncover meaningful insights. You will explore how to write effective prompts, validate AI-generated outputs for accuracy, and maintain data privacy while working with AI assistants. By reading through practical examples, you will discover how to turn messy information into structured, reliable data ready for analysis. What you'll learn: • Understand fundamental data preparation concepts and why data quality matters. • Apply natural language commands to clean, format, and structure raw datasets. • Practice writing effective prompts to guide Copilot in identifying data anomalies. • Validate AI-generated insights to prevent hallucinations and ensure accuracy. • Implement modern data privacy best practices when using AI tools for analysis. • Extract and summarize key trends from your data efficiently. The course begins with essential terminology, introducing basic concepts in data management and artificial intelligence. From there, you will progress through written scenarios and exercises that demonstrate how to integrate Copilot into daily data workflows. Designed entirely for beginners, this course requires no prior experience with data analytics or artificial intelligence. Start reading today to transform how you prepare and evaluate data with AI.