Compare paths by outcome, depth, and effort
Use this inventory to scan the scope of the hub.
- Compare Complete SQL, Analytics SQL, SQL for Engineers, and SQL Interview Practice by prerequisite level, depth, estimated effort range, outcomes, and included projects.
- Each path points to ordered modules, cumulative reviews, representative original exercises, and the capstone or interview outputs it prepares.
- The catalog keeps estimates as ranges and avoids fake guarantees about speed, jobs, rankings, certificates, or test scores.
Choose a learning path
Choose a course, reference page, dataset, or project. Practice opens in the app when you are ready.
Complete SQL Path
A full beginner-to-capstone path through retrieval, analysis, joins, windows, safe changes, and plan reasoning.
View path- Outcome
- Read table schemas, keys, and row grain before writing a query.
- Depth
- 34 modules
- Effort
- 30-45 hours
Analytics SQL Path
A focused path for metrics, period analysis, cohorts, joins, grouping grain, and executive reporting.
View path- Outcome
- Build metrics with safe aggregation, complete periods, and explicit numerator/denominator definitions.
- Depth
- 21 modules
- Effort
- 14-22 hours
SQL for Application Engineers
A path for schema reading, safe DML, transactions, constraints, upserts, and data-quality repair.
View path- Outcome
- Read schemas and constraints before changing data.
- Depth
- 10 modules
- Effort
- 10-16 hours
SQL Interview Practice Path
A challenge-oriented path with timed practice, debriefs, transfer checks, and mixed easy-to-hard SQL prompts.
View path- Outcome
- Classify interview-style SQL tasks by grain, join shape, and edge-case risk before coding.
- Depth
- 18 modules
- Effort
- 12-20 hours
Move from reading to a checked query
Use these guides to choose the next topic, then open the workspace for the editor, checks, drafts, reviews, and saved progress.