# data · data.sql
SQL Query Work
Query sets solved and explained line by line, from joins to window functions.
SQL coursework loses marks less often on wrong syntax than on queries that return the right numbers for the wrong reason — a join that silently duplicates rows, a GROUP BY that hides an error. We test every query against your real schema and walk through the logic so you can explain it, not just submit it.
What you get
- Every query tested against your actual schema, not a mock one
- Explained line by line so you can answer questions about it
- Indexed where a query would otherwise be markably slow
- Window functions and CTEs used only where they're the right tool
- Output matched exactly to the expected result set in your brief
- A cheat-sheet of the patterns used, for your own revision
What to send first
- The dataset (or a sample of it) and where it came from
- The questions the analysis has to answer, or the model's target
- Required tools — SQL dialect, Python libraries, R, Excel version
- The report format: notebook, PDF write-up, dashboard or slides
How it runs
- 01
Send the spec
The brief, the rubric, any starter code and the versions your marker uses. A photo of the PDF is fine to begin with.
- 02
Scope and quote in writing
We read it properly, ask what is unclear, and confirm a fixed price and delivery date. A small advance confirms the order.
- 03
Build against the brief
Work is tracked task by task against the spec. Longer projects are split into milestones you can review as they land.
- 04
Tested handover
A repo that installs from a README, run against your test cases, with the write-up if your rubric asks for one.
- 05
Fixes and walkthrough
One round of fixes if a marker flags something, and a walkthrough of how it works so you can explain it.
SQL Query Work: common questions
The notebook or scripts that produced every number, so the analysis can be re-run end to end. Results pasted into a report without the code behind them are hard to defend.
No. Data is used only for your task, never shared or reused, and deleted on request once the work is signed off.
It depends on the scope of the brief, the stack and the deadline. Send the spec on WhatsApp and you get a fixed price and delivery date in writing before any work starts — no hourly meter.
Turnaround depends on scope and is agreed with the quote. Tell us the real deadline, including the timezone, and we will say honestly whether it is workable before you commit.
// related
Often paired with sql query work
./send-brief
Send the questions.
Paste the sql query work brief into WhatsApp — the message already names the service. Scope and price come back in writing.