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

AI-Powered Data Analysis: A Practical Introduction

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn principles of data analysis

  • Learn how to use generative AI to come up with data analysis ideas

  • Learn how to use generative AI to create functional data analysis code

  • Learn how to share data analysis projects on GitHub

Details to know

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Recently updated!

July 2024

Assessments

3 assignments

Taught in English

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There are 3 modules in this course

This module teaches learners to understand and define data, utilize Generative AI for data acquisition, and effectively navigate various data formats and sources. Gain hands-on experience with real-world datasets.

What's included

4 videos6 readings1 assignment

This module equips learners with fundamental data analysis skills, including selecting appropriate tools, cleaning and organizing data, performing statistical analyses, and creating visualizations, all while leveraging generative AI to enhance their capabilities.

What's included

6 videos5 readings1 assignment1 ungraded lab

This module equips learners with essential support skills such as version control, utilizing generative AI for technical assistance, and applying their data analysis knowledge to practical, domain-specific projects.

What's included

2 videos2 readings1 assignment1 ungraded lab

Instructor

Tina Lasisi
University of Michigan
1 Course1,208 learners

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Recommended if you're interested in Data Analysis

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