Standard syllabus
Data science capstone · Undergraduate · Data science
Learning objectives from the Data science capstone syllabus, grouped by unit. Click an objective for study materials.
Learning objectives
Click an objective for study materials.
Project scoping
- Choosing a feasible question and success metrics — Choosing a feasible question and success metrics
- Data access, licenses, and IRB/privacy checks — Data access, licenses, and IRB/privacy checks
- Risk register: schedule, data quality, model risk — Risk register: schedule, data quality, model risk
- Milestone plan from proposal to final demo — Milestone plan from proposal to final demo
- Advisor/stakeholder check-ins — Advisor/stakeholder check-ins
Execution
- End-to-end pipeline: ingest → clean → explore → model/eval — End-to-end pipeline: ingest → clean → explore → model/eval
- Reproducible environments and seeded runs — Reproducible environments and seeded runs
- Version control and experiment notes — Version control and experiment notes
- Validation strategy appropriate to the claim — Validation strategy appropriate to the claim
- Ablations and sensitivity checks — Ablations and sensitivity checks
Delivery
- Written report structure for technical and non-technical readers — Written report structure for technical and non-technical readers
- Figures/tables that carry the argument — Figures/tables that carry the argument
- Live demo or recorded walkthrough — Live demo or recorded walkthrough
- Limitations, ethics, and next steps — Limitations, ethics, and next steps
- Code/README handoff quality — Code/README handoff quality
Professional practice
- Timeboxing and scope cuts under deadline — Timeboxing and scope cuts under deadline
- Collaborating in pairs/teams when required — Collaborating in pairs/teams when required
- Responding to critical feedback — Responding to critical feedback
- Citing data and software correctly — Citing data and software correctly
- Archiving artifacts for grading and portfolio — Archiving artifacts for grading and portfolio
What each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Project scoping
Choosing a feasible question and success metrics
Coming soon - Execution
End-to-end pipeline: ingest → clean → explore → model/eval
Coming soon - Delivery
Written report structure for technical and non-technical readers
Coming soon - Professional practice
Timeboxing and scope cuts under deadline
Coming soon
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Data science capstone · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.