The Brief
Wanjiku Muthoni runs a small veterinary clinic in Nairobi. She sees 25-30 pets a day by appointment, and people keep not showing up. Empty slots cost money and mean pets miss care.
She has 18 months of appointment records. She wants three things: how bad the no-show problem actually is, what the pattern looks like, and whether it is getting worse. She has a staff meeting next month and needs real numbers to present.
The data is there. The question is clear. The work is turning that data into something Wanjiku can act on.
Your Role
You direct the analysis. AI does the computing, the plotting, the drafting. Your job is to tell it what to do, check what it produces, and make sure the numbers are right before they reach the client.
That means reading the brief carefully, understanding what each column in the dataset represents, and catching the places where AI output looks correct but is not. You have everything you need to verify the work. The question is whether you use it.
What's New
This is the first real project. Everything is new: working with a client, directing AI through an analytical workflow, checking output against expected values, and producing a deliverable someone will actually read.
You have materials that tell you what to compute and what the results should look like. The challenge is not figuring out what to do. It is directing AI through the work and verifying that what comes back is accurate. AI produces confident, well-formatted output. Some of it will be wrong in ways that are not obvious until you check.
Tools
- Python 3.11+ via your conda "ds" environment
- Jupyter Notebook for the analysis
- pandas for data handling
- matplotlib / seaborn for visualization
- scipy for statistical tests
- Claude Code as the AI you direct
- Git / GitHub for version control
Materials
Everything is provided. You receive:
- A dataset of approximately 8,000 appointment records
- A data dictionary describing every column
- An analysis specification that defines what to compute
- Verification targets to check AI's output against
- A report template for the final deliverable
- Suggested prompts to get you started
Nothing requires prior statistical knowledge. The materials give you what you need to direct the work and verify the results.