Sources and Further Reading

Sources

The content of this module is based on the following sources and resources:

Fundamentals of Data Analysis with AI

• Google: "People + AI Guidebook" -- Best practices for designing AI-powered data analysis workflows. pair.withgoogle.com
• McKinsey: "The data-driven enterprise of 2025" -- Analysis of how AI-powered data analysis is transforming enterprises. mckinsey.com

Data Visualization

• Edward Tufte: "The Visual Display of Quantitative Information" -- Standard reference work on the principles of good data visualization.
• Storytelling with Data (Cole Nussbaumer Knaflic) -- Practical guide to data-driven storytelling. storytellingwithdata.com

Tools and Platforms (As of: May 2026)

• ChatGPT Advanced Data Analysis -- Conversational data analysis with upload functionality. openai.com
• Julius AI -- Specialized platform for AI-powered data analysis and visualization. julius.ai
• Google Sheets with Gemini -- AI features directly in the spreadsheet application. workspace.google.com
• Microsoft Copilot in Excel -- AI-powered analysis and visualization in Excel. microsoft.com

Further Reading

• Beginner Path: Prompting Basics -- Fundamentals for effective AI prompts that also help with data analysis
• AI Workshop: Text Creation -- AI-powered text generation as a complement to reporting

As of: May 2026. Links and tool information are subject to change.