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Data Science for Beginners: Projects

Practice data science with a checked receipt-review report.

Begin with one submission per row. The project asks for a rate that another analyst can reproduce from a pinned extract, with late outcomes and join multiplicity visible rather than discarded.

Project and required concepts

Completion standard

Submit the runnable analysis, its input and version manifest, the outcome counts, failure-case checks and a short decision note. Keep the final evaluation partition separate from development choices.

Additional project briefs

Support resolution project

SQL audit project

Checkout audit project

Cold-chain audit project

Customer identity project

Support allocation project

Delivery scan audit project

Bayesian escalation project

Support handoff survey project

Support rate model-checking project

Support survey weighting project

Support resolution-time project

Specialist-queue survival project

Warehouse capacity simulation project

Support breach monitoring project

Support resolution model review

Longitudinal resolution validation project

Competing exit prediction review

Staggered branch rollout audit

Small rollout and spillover review

Single-branch policy transfer review

Interrupted-series policy review

Outcome-label error audit

Attrition-bound policy review

Curriculum

Open a resource to read its explanation and linked examples.

  1. 1Project: audit a receipt-review rate from raw submissions
  2. 2Project: estimate support-case defects from an auditable sample
  3. 3Project: audit fulfillment delays without hiding the tail
  4. 4Project: audit support resolution with open cases and imperfect labels
  5. 5Project: build an auditable support-intake SQL report
  6. 6Project: audit checkout conversion and repeat purchase
  7. 7Project: audit cold-chain sensor measurements before classifying excursions
  8. 8Project: resolve customer records and audit the metric restatement
  9. 9Project: allocate support reviews under capacity and uncertainty
  10. 10Project: audit missing delivery scans before reporting service rates
  11. 11Project: Bayesian monitoring of support escalations
  12. 12Project: measure support-handoff clarity with a versioned survey
  13. 13Project: check a Bayesian support-rate model before acting
  14. 14Project: audit weights for a support-handoff survey
  15. 15Project: audit support resolution time and competing exits
  16. 16Project: audit specialist-queue resolution comparisons
  17. 17Project: simulate warehouse capacity under shared shocks
  18. 18Project: release a support breach monitoring packet
  19. 19Project: review a support-resolution survival model
  20. 20Project: validate a time-updated resolution model
  21. 21Project: review resolution predictions with competing exits
  22. 22Project: audit a staggered support-branch rollout
  23. 23Project: review a small branch rollout with spillovers
  24. 24Project: review a single-branch policy and its transfer
  25. 25Project: audit an interrupted policy series
  26. 26Project: audit a deadline-breach outcome label
  27. 27Project: decide a routing policy with missing outcomes
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