Data Science Workflows with Generative AI and Copilot

The field of data science is shifting rapidly as intelligent assistants become standard tools for professional analysis. This course provides a clear path to understanding how generative AI can transform your daily data tasks from manual labor into streamlined automation. You will move from a basic understanding of model logic to applying advanced AI assistance in real-world scenarios. You will gain a solid foundation in how generative models function and how to effectively partner with Copilot to write code, clean data, and interpret complex datasets. By focusing on practical text-based exercises, you will learn to communicate with AI to produce reliable and reproducible results. What you'll learn: - Understand the core principles of Transformers and generative model architectures - Apply Copilot to automate data cleaning and exploratory data analysis - Generate Python scripts and SQL queries using effective prompt engineering - Practice advanced techniques for refining AI-generated code and logic - Analyze large datasets to extract summaries and actionable insights - Evaluate the accuracy and ethical considerations of AI-driven analysis The course begins with essential terminology and foundational concepts before moving into the practical application of AI in the data science lifecycle. It is designed for beginners and aspiring data professionals who want to modernize their toolkit without any prior experience in artificial intelligence. Start building your future-ready data skills through clear, step-by-step written instruction.