Getting Started
Everything you need to start building data literacy in about 5 minutes.
Requirements
Before you begin, make sure you have:
- An AI subscription — Claude Pro, ChatGPT Plus, or equivalent
- The course materials — Free download
- Your AI tool of choice — Claude Desktop, ChatGPT, Cowork, Manus, or any AI that can read files
This course works on all major AI platforms. Use whichever tool you prefer.
Installation
Download the Course Materials
Download the course folder and extract it to your computer. It includes sample datasets, messy spreadsheets, example reports, and all lesson files.
Open Your AI Tool
Launch Claude, ChatGPT, Cowork, Manus, or your preferred AI platform.
Point It at the Course Folder
- Claude Desktop / Cowork: Select the course folder when prompted
- ChatGPT: Upload the course folder or individual lesson files
- Other tools: Open or upload the course files so your AI can access them
Start Learning
Say "start lesson 1.1" and your AI tool will introduce you to the course format, learn about your role, and begin teaching you how to read data critically.
Course Structure
The course is organized into two modules you complete in order:
| Lesson | Topic | What You'll Learn |
|---|---|---|
| Module 1: Reading Data Without Fear | ||
| 1.1 | Introduction | Why data literacy matters and your data context |
| 1.2 | Reading Charts Right | Common chart types and spotting misleading visualizations |
| 1.3 | Understanding Metrics | Separating vanity metrics from meaningful numbers |
| 1.4 | Spotting BS in Data | Cherry-picking, survivorship bias, correlation vs causation |
| 1.5 | Module 1 Wrap-up | Review of critical thinking skills |
| Module 2: AI as Your Data Analyst | ||
| 2.1 | Messy Data, Clear Answers | AI reads spreadsheets and answers plain-English questions |
| 2.2 | Building Visualizations | Picking the right chart and having AI create it |
| 2.3 | The Explain This Workflow | Having AI break down dense reports |
| 2.4 | Data to Narrative | Turning raw numbers into summaries people want to read |
| 2.5 | Your Reusable Data Setup | Building a repeatable analysis process |
Tips for Success
Take your time. The course is designed for 3-4 hours total (1.5-2 per module), but there's no rush. Do it at your own pace.
- Follow along actively - Don't just read; actually work with the sample data your AI gives you
- Bring your own data - The more you practice with real numbers from your job, the faster the skills stick
- Ask questions - If something's unclear, just ask your AI to explain differently
- Take breaks - You can stop and resume anytime
Troubleshooting
AI can't see my files
Make sure you've selected or uploaded the correct folder. Ask your AI: "Can you see the sample-data folder?" If not, reselect or re-upload.
Lessons aren't working
Try saying the exact phrase: start lesson 1.1 — your AI is trained to recognize this format.
I'm stuck on a step
Just ask your AI! Say "I'm stuck" or "Can you explain that differently?" The whole point is that your AI is your interactive tutor.
Ready?
Head back to your AI tool and type:
start lesson 1.1