1.5 Module 1 Wrap-up
Time: ~15 minutes
What You'll Learn
- Review of all critical thinking skills from Module 1
- Your personal data literacy checklist
- How Module 1 skills connect to Module 2's AI workflows
- Preparation for using AI as your data analyst
Key Concepts
This lesson pulls everything together. You now have a critical thinking toolkit that includes:
- Chart literacy -- You can read any visualization and spot when it's misleading
- Metric evaluation -- You know the difference between numbers that matter and numbers that just look good
- BS detection -- You can identify cherry-picking, survivorship bias, correlation-causation confusion, and aggregation tricks
Claude will walk you through a review exercise where you apply all three skills to a realistic scenario, then help you build a personal checklist you can use whenever you encounter data at work.
What's Next
Module 2 takes everything you've learned and adds AI power. Now that you can evaluate data critically, you're ready to:
- Have AI analyze messy spreadsheets for you
- Build visualizations that are honest and effective
- Break down dense reports in minutes instead of hours
- Turn raw numbers into narratives people actually read
- Create a reusable workflow for recurring analysis
How to Start
Open Claude Desktop and say:
start lesson 1.5When you're ready for Module 2, say:
start lesson 2.1