This course is part of ChatGPT + Excel: AI-Enhanced Data Analysis & Insight.
This beginner-friendly course teaches you how to revolutionize your Excel workflow by integrating ChatGPT as an AI assistant for data analysis and storytelling. You'll learn the DIG framework (Description, Introspection, and Goal Setting) to effectively explore and understand complex datasets with AI assistance. The course demonstrates how to use ChatGPT to generate insightful questions about your data, establish clear analysis goals, and join multiple Excel or CSV files seamlessly. You'll master techniques for debugging data issues by having ChatGPT interrogate your datasets to identify inconsistencies, duplications, or mismatches. The curriculum covers data transformation and filtering approaches, extracting structured data from unstructured sources, and crafting compelling narratives from your analysis. You'll also learn best practices for ensuring your work is replicable and traceable by creating documentation packages that capture every step of your analysis process, from data sources to assumptions made. This practical approach will help you save time on mundane tasks while enhancing your ability to derive insights and make data-driven decisions.
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Instructors:
English
What you'll learn
Use the DIG framework (Description, Introspection, Goal Setting) to explore Excel data with ChatGPT
Generate insightful questions to understand complex datasets more efficiently
Join and analyze data across multiple Excel sheets or CSV files using AI assistance
Identify and resolve data inconsistencies through AI-powered debugging techniques
Create comprehensive documentation packages to ensure analysis is replicable and traceable
Transform and filter data more effectively with ChatGPT guidance
Skills you'll gain
This course includes:
1.6 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There is 1 module in this course
This practical course teaches professionals how to integrate ChatGPT with Excel to transform data analysis workflows. Students learn the DIG framework (Description, Introspection, and Goal Setting) for effective AI-assisted data exploration, along with techniques for generating insightful questions and establishing clear analysis objectives. The course demonstrates how to join multiple data files seamlessly, debug analysis issues through AI-powered questioning, and ensure work is replicable through proper documentation. Students master data transformation and filtering techniques with AI assistance, learn to extract structured data from unstructured sources, and develop skills in crafting compelling data narratives. The curriculum emphasizes practical applications across various scenarios, from merging diverse datasets to identifying relationships and inconsistencies, ultimately enabling faster, more insightful analysis and decision-making.
Data Exploration with ChatGPT + Excel
Module 1 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: ChatGPT + Excel: AI-Enhanced Data Analysis & Insight
Instructor
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
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Frequently asked questions
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