SQL: Data modelling
Apply SQL through entities, relationships, constraints.
Intermediate / Structured learning draft / Version 0.9
Structured learning draftSQL for Financial Analysis
Model, query and explain dependable data. You will finish with a working data model with validated queries.
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DatabasesTool stack
PostgreSQL
12guided lessons
4focused modules
1reviewable project
PDFoffline workbook
The problem
What this course helps you do
SQL for Financial Analysis is a structured, practical course covering SQL, Finance, Analytics, Window functions, Reporting. It emphasizes explainable methods, checked work and a final outcome that can be reviewed.
Who it is for
Developers and analysts who need dependable data systems.
Prerequisites
- Basic programming or spreadsheet experience
Portfolio-ready project
Produce a reviewable SQL for Financial Analysis project using SQL, Finance, Analytics.
Deliverable: A working SQL for Financial Analysis artefact plus an evidence-based self-review.
Practice fileRelational data practiceSafe SQL schema and queries for a fictional service business.Planning template · MarkdownProject briefDefine the user, outcome, boundaries, evidence and acceptance criteria before building.Printable workbook · PDFComplete course workbookA4-ready lesson prompts, project worksheets, evidence logs and references.
Downloads open without an account. Practice data is fictional; review each file before using it in another system.
Definition of done
- The output matches the stated outcome.
- Inputs and decisions are reproducible.
- Boundary and failure evidence is included.
- Limitations and responsibility considerations are explicit.
Course plan
From first concept to finished work
Finance: Querying
Apply Finance through selection, joins, aggregation.
Analytics: Reliability
Apply Analytics through transactions, indexes, backups.
Window functions: Production design
Apply Window functions through security, performance, operations.
Source-led learning
Authoritative references
Course claims are grounded in primary documentation and recognized public guidance. Recheck version-sensitive information before professional use.
- PostgreSQL TutorialPostgreSQL Global Development Group
- SQL LanguagePostgreSQL Global Development Group