AI-Powered Data Analysis: A Practical Introduction

О курсе

As generative artificial intelligence (AI) reshapes our world, the ability to analyze data is quickly becoming as fundamental as reading and writing. “AI-Powered Data Analysis: A Practical Introduction” explores how AI tools like ChatGPT are revolutionizing our approach to data, making advanced analysis accessible to everyone. Learn how to navigate this new terrain, whether you're a complete novice or looking to enhance your skills. You'll learn to think critically about the context of data analysis, delve into the specifics of analyzing and visualizing data using AI, and consider broader factors that support but are not directly part of data analysis. This practical approach focuses on generative AI tools, ensuring you know how to ask the right questions to avoid common mistakes. Your final activity will allow you to set yourself up for continued learning with a prepared Python environment and data sets, which you can voluntarily showcase on GitHub—a code-sharing platform. By the end of this course, you'll be adept at using AI tools to analyze data effectively and seamlessly apply these skills to future projects. This is the first course in the Applied AI: Data Analysis, Workflows, and Decisions series, a three-course series on practical ways to integrate AI into your personal and professional routines.

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Tina Lasisi

Assistant Professor of Anthropology and Assistant Professor of Ecology and Evolutionary Biology