AI-Powered Data Analysis: A Practical Introduction

University of Michigan via Coursera

Go to Course: https://www.coursera.org/learn/ai-powered-data-analysis-a-practical-introduction

Introduction

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

Learn how to share data analysis projects on GitHub

Syllabus

Laying the Groundwork: Data Foundations

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.

Building Skills: Essential Practice

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.

Finishing Touches: Supporting Skills & Next Steps

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.

Overview

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 d

Skills

Reviews

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