Course path
SQL Interview Practice Path
A challenge-oriented path with timed practice, debriefs, transfer checks, and mixed easy-to-hard SQL prompts.
Who this path is for
A challenge-oriented path with timed practice, debriefs, transfer checks, and mixed easy-to-hard SQL prompts.
- Audience: Interview candidates and experienced learners who want mixed prompts, debriefs, and pressure-tested transfer.
- Prerequisites: Comfort with joins, grouping, null behavior, and reading problem statements carefully.
Observable learner outcomes
The course states outcomes as observable SQL behaviors that can be checked through local attempts, hidden variants, reviews, and projects.
- Classify interview-style SQL tasks by grain, join shape, and edge-case risk before coding.
- Practice easy-to-hard prompts with optional timing, debriefs, and transfer checks.
- Explain mistakes and improve under review without treating speed as the only quality signal.
Estimated effort range
Estimated effort range: 12-20 hours. This is a planning range, not a fake guarantee; prior SQL experience, review spacing, and project depth change the total.
Cumulative reviews and project requirements are part of completion, so finishing the path means more than viewing lessons.
Ordered syllabus
Scan the ordered modules to see how the path builds from prerequisites through reviews and project work.
| Module | Topic | Activities |
|---|---|---|
| Module 17 | Keys, Relationships, Cardinality, and Join Planning | 7 |
| Module 18 | INNER JOIN and Qualified Columns | 7 |
| Module 19 | LEFT JOIN, Missing Relationships, and Zero Counts | 7 |
| Module 20 | Multi-Table Joins and Fact Grain | 7 |
| Module 21 | Fan-Out, Pre-Aggregation, Self Joins, and Non-Equi Joins | 7 |
| Module 22 | Scalar and Set Subqueries | 7 |
| Module 23 | EXISTS, NOT EXISTS, and Correlation | 7 |
| Module 24 | Common Table Expressions and Query Pipelines | 7 |
| Module 25 | Set Operations and Compatible Result Shapes | 7 |
| Module 26 | Dates, Timestamps, Time Zones, and Half-Open Ranges | 7 |
| Module 27 | Period Grouping, Complete Calendars, Cohorts, and Retention Foundations | 7 |
| Module 28 | Window Foundations and Ranking | 7 |
| Module 29 | LAG, LEAD, and Period Change | 7 |
| Module 30 | Running Totals, Frames, Rolling Metrics, and Percent of Total | 7 |
| Module 31 | Logical Processing Order, Systematic Debugging, and Data Quality | 7 |
| Module 32 | INSERT, UPDATE, DELETE, and RETURNING | 7 |
| Module 33 | Transactions, Constraints, and Upserts | 7 |
| Module 34 | EXPLAIN, Index Fundamentals, and Query Quality | 7 |
- Module 17: Keys, Relationships, Cardinality, and Join Planning
- Module 18: INNER JOIN and Qualified Columns
- Module 19: LEFT JOIN, Missing Relationships, and Zero Counts
- Module 20: Multi-Table Joins and Fact Grain
- Module 21: Fan-Out, Pre-Aggregation, Self Joins, and Non-Equi Joins
- Module 22: Scalar and Set Subqueries
- Module 23: EXISTS, NOT EXISTS, and Correlation
- Module 24: Common Table Expressions and Query Pipelines
- Module 25: Set Operations and Compatible Result Shapes
- Module 26: Dates, Timestamps, Time Zones, and Half-Open Ranges
- Module 27: Period Grouping, Complete Calendars, Cohorts, and Retention Foundations
- Module 28: Window Foundations and Ranking
- Module 29: LAG, LEAD, and Period Change
- Module 30: Running Totals, Frames, Rolling Metrics, and Percent of Total
- Module 31: Logical Processing Order, Systematic Debugging, and Data Quality
- Module 32: INSERT, UPDATE, DELETE, and RETURNING
- Module 33: Transactions, Constraints, and Upserts
- Module 34: EXPLAIN, Index Fundamentals, and Query Quality
Reviews, projects, and mastery
Completion uses independent attempts, delayed review, transfer evidence, and project milestones rather than simple page views.
Cumulative reviews, project requirements, and final transfer checks are visible parts of the course contract.
Start with the full path, or use path-specific practice when you want a focused session.
Page highlights
- Ordered modules with realistic effort and transfer expectations
- Original exercises tied to SQL Trail datasets
- Cumulative reviews and independent transfer checks
- Projects, references, and practice routes for the path