# ALX Data Science Learner Progression Insights

- Overall dropout lands at 46.7%, which keeps the synthetic programme in a realistic intensive-bootcamp range.
- Sprint 4 carries the heaviest single concentration of learner loss, but the pressure starts in the first two sprints.
- Mobile-only learners complete 16.3 percentage points less often than desktop learners in this model.
- High lateness is not a minor submission issue. It lifts dropout by 27.2 percentage points versus low-lateness learners.
- 57.8% of week 6 to 10 dropouts come from employed learners, which points to schedule pressure in the middle of the programme.
- 33.5% of all dropouts happen by week 6, which keeps onboarding as a major retention risk even though Sprint 4 is the sharpest single spike.
- `disengagement` appears most often as the final dropout reason in this run, which suggests the case should be read as a learner-support and programme-design problem, not only a content problem.