Data Analysis and Communication with Copilot

Managing large datasets often feels overwhelming, but generative AI is changing how we interpret and share information. This course shows you how to use Copilot to bridge the gap between complex numbers and clear, persuasive communication. You will learn to navigate the entire data lifecycle—from initial exploration to final presentation—using AI-driven tools to uncover hidden patterns and save time on manual tasks. By reading through practical examples, you will gain the skills needed to turn raw information into strategic assets. What you'll learn: - Understand foundational data analysis principles and key AI terminology - Analyze complex datasets by writing effective natural language prompts - Generate clear and impactful visualizations to represent data trends - Practice data storytelling techniques to communicate findings to any audience - Apply modern prompt engineering patterns specifically for data accuracy - Understand data privacy and ethical considerations when working with AI tools The course begins with essential definitions and core concepts before moving into practical workflows for analyzing, visualizing, and reporting on data. You will follow a logical progression from basic data cleaning to advanced communication strategies. This course is designed for beginners who want to enhance their data skills; no prior experience with data science or programming is required. Start reading to enhance your professional toolkit and learn to communicate data more effectively.