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AI-Powered Data Analysis: A Practical Introduction

By Coursera on Coursera · Data Science
Price
Free

About This Course

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.

Instructor

Tina Lasisi

Frequently Asked Questions

How much does AI-Powered Data Analysis: A Practical Introduction cost?
Visit the AI-Powered Data Analysis: A Practical Introduction course page for current pricing and available discounts.
Who teaches AI-Powered Data Analysis: A Practical Introduction?
AI-Powered Data Analysis: A Practical Introduction is taught by Tina Lasisi, University of Michigan.
What skill level is AI-Powered Data Analysis: A Practical Introduction for?
This course is designed for beginner learners.