What a completion record looks like
Every learner gets one when they finish. This is a sample.
Completion record
- Name
- Sample learner
- Course
- Python Foundations — answer a manager's questions from a file you did not make
- Completed
- 8 November 2026
- Project
- View the dashboard →
- Skills demonstrated
- Reading a file somebody else exported into Python and establishing its size and shape before claiming anything about it · Selecting columns and filtering rows on several conditions at once, in an order chosen on purpose · Establishing what values really are — money read as text, two kinds of absence, one category written many ways, and dates the reader refuses — before computing with them · Counting and totalling, and knowing which count skips the rows with nothing in them · Answering a question per group, and finding repeated records that were inside an earlier total · Joining two tables and stating what the join lost · Checking an answer against the row count before reporting it
What was built
An analysis notebook you keep: the cells you wrote, still runnable from the first to the last, answering one question per session about a wholesale supplier's two years of orders — what was sold, to whom, when, where, and how much of what the export says can be trusted.
The 6 sessions, and when each was completed on their own
Each session was completed twice: once with step-by-step guidance on one company’s data, then on a second company’s data from a brief, with guidance only when asked. Every check passed on both. Alongrail records the sessions, the checks and the dates; the dashboard itself is the learner’s own, hosted where they chose.
The record is a description of work you did, not a claim about you. Anyone who opens it can see the work for themselves. It stays private until you publish it, and you can unpublish it at any time.
The name, the course, the date, the skills and the link to the dashboard: that is the whole of it. Nothing on it is about you that you didn’t do.