Data Science and Visualization Fundamentals with Python and GPT

The ability to extract insights from data is one of the most in-demand skills today, and AI has completely transformed how we approach it. Combining the analytical power of Python with the generative capabilities of GPT allows you to process, analyze, and visualize data faster and more effectively than ever before. In this text-based course, you will transition from a complete beginner to someone who can confidently explore datasets, clean messy information, and build compelling visual narratives. You will learn core programming concepts alongside modern AI workflows, using GPT as a powerful assistant to write code, debug errors, and interpret complex trends. What you'll learn: • Understand fundamental data science terminology, concepts, and analytical best practices. • Write Python code to manipulate and analyze data using modern dataframe libraries. • Create clear, informative data visualizations to uncover hidden patterns and trends. • Apply basic prompt engineering techniques to generate Python scripts and automate data tasks with GPT. • Practice cleaning and preparing raw datasets for accurate and reliable analysis. • Interpret data outputs and effectively communicate your analytical findings. The course begins with essential terminology and foundational Python concepts before introducing data manipulation techniques. From there, you will explore visualization strategies and learn how to integrate GPT into your everyday analytical workflow through practical, written exercises. This course is designed specifically for beginners with no prior programming, data science, or AI experience. Start reading today to build your foundational data skills and harness the combined power of Python and GPT.