Excel and ChatGPT: Data Analysis Power Tips
2h 7mBeginner2025-07-07
Authors
Chris Dutton
Certified Microsoft Excel Expert, Analytics Consultant
Course details
Data analytics revolutionized the way we work, and now, with the rise of artificial intelligence, data professionals have access to tools that let them work smarter and faster than ever before. In this beginner-friendly course, instructor Chris Dutton shows you have to leverage tools like Excel and ChatGPT together to work more efficiently and make smarter, data-driven decisions. Chris and the Maven Analytics team discuss how AI is revolutionizing data analysis, introduce the art of prompt engineering, review tips and best practices for generating consistent accurate model outputs, and address common limitations and pitfalls. Throughout the course you’ll learn some of the most powerful ChatGPT use cases for data science and analytics, and get hands-on practice using ChatGPT to explain and interpret code, generate formulas, troubleshoot errors, optimize complex queries, and much more.
Skills covered
ChatGPTOpenAISpreadsheetsMicrosoft ExcelAI Productivity ToolsArtificial Intelligence for BusinessData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsMicrosoftOne-Off
Concepts
0. Introduction
- 01 - The future is now - Intro to AI for data analytics
- 02 - Setting expectations
1. How AI Is Revolutionizing Data Analysis
- 03 - Why AI is a game-changer for data analysis
- 04 - AI use cases for data analytics
2. A Crash Course in AI, LLMs, and ChatGPT
- 05 - The AI landscape
- 06 - Generative AI and large language models
- 07 - The road to ChatGPT
- 08 - Generative AI tools
- 09 - Warning - Pitfalls of ChatGPT
- 10 - Accessing ChatGPT and Google Bard
3. Prompt Engineering Tips
- 11 - Intro to prompt engineering
- 12 - Prompt tip - Be clear and specific
- 13 - Prompt tip - Provide context
- 14 - Prompt tip - Establish roles
- 15 - Prompt tip - Set the tone
4. ChatGPT for Excel
- 16 - Intro to ChatGPT for Excel
- 17 - Explain fundamental Excel concepts
- 18 - Generate Excel formulas from descriptions
- 19 - Generate DAX and M Code
- 20 - Automate tasks with VBA macros
- 21 - Generate formulas from sample data
- 22 - Ask for Excel data visualization advice
- 23 - Produce step-by-step Excel tutorials
- 24 - Collaborate on data prep and EDA
- 25 - Generate sample datasets
- 26 - Single table analysis
- 27 - Multi-table analysis
- 28 - The Canvas interface
- 29 - Scraping data from the web
Conclusion
- 30 - Key takeaways and next steps