Back to AI-Powered Data Analysis: A Practical Introduction
University of Michigan

AI-Powered Data Analysis: A Practical Introduction

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. Whether you're a complete novice or looking to enhance your skills, you'll learn how to navigate this new terrain. 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 hub. 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.

Status: ChatGPT
Status: Generative AI
BeginnerCourse4 hours

Featured reviews

LY

4.0Reviewed Oct 20, 2024

Reading content is a bit too much, instructor is sophisticated and veteran in data processing and ai manipulation.

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Carie Pavlov
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Stella Booydegraaff
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JAWAHER MOHAMMED S ALMUTLAQ JAWAHER MOHAMMED S ALMUTLAQ
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Reviewed Oct 21, 2024