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.
AI-Powered Data Analysis: A Practical Introduction
AI-Powered Data Analysis: A Practical Introduction
Instructor: Tina Lasisi
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Gain insight into a topic and learn the fundamentals.
4.3
(11 reviews)
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
Skills you'll gain
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
Instructor ratings
4.8 (5 ratings)Offered by
Recommended if you're interested in Data Analysis
Vanderbilt University
University of Colorado Boulder
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4.3
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LY
4
Reviewed on 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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