Slide 7 of 12

Understanding Your Data

From Numbers to Narratives

Learn to use AI tools like ChatGPT with Code Interpreter to analyze simple datasets and extract meaningful insights. The key is not just getting the data, but asking the right questions to uncover the story within.

🛠️ AI Data Analysis Tools

🤖
ChatGPT Code Interpreter
Upload files and get instant analysis, charts, and insights
📊
Claude with Analysis
Advanced data interpretation and visualization suggestions
📈
Gemini Data Tools
Pattern recognition and trend analysis capabilities
🔍
Perplexity Research
Context and benchmarking for your data findings

🎯 The Right Questions to Ask

Exploration Questions
  • What are the top 3 key insights from this data?
  • What patterns or trends do you notice?
  • Are there any surprising or unexpected findings?
  • What questions does this data raise?
Visualization Questions
  • Create a bar chart showing [X vs. Y]
  • What's the best way to visualize this trend?
  • Show me the correlation between these variables
  • Create a dashboard-style summary
Business Questions
  • What does this mean for business strategy?
  • Summarize this for a non-technical manager
  • What actions should we take based on this data?
  • How does this compare to industry benchmarks?

🎯 Hands-On Data Analysis Challenge

Work with a sample dataset to extract actionable insights

1
Upload Dataset
Use the provided sample Excel/CSV file with your AI tool
2
Ask Key Questions
Get the top 3 insights and identify interesting patterns
3
Create Visualization
Generate a bar chart or other appropriate visual
4
Business Summary
Summarize findings in 3 bullet points for management

📝 Sample Prompts to Try

Data Exploration:
"Analyze this dataset and tell me: What are the top 3 key insights? What patterns or trends do you notice? Are there any surprising findings that warrant further investigation?"
Visualization Request:
"Create a bar chart showing [sales by region] and a line chart showing [trends over time]. Make sure the charts are clear and include proper labels and titles."
Executive Summary:
"Summarize this data analysis in exactly 3 bullet points for a non-technical manager. Focus on business implications and actionable insights, not technical details."