SQL
Graduate · CS / Programming
Syllabus focus
Standard syllabus · STEM / applied
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.
Topics typically covered
Standard syllabus
Query fundamentals
- SELECT projections, filtering with WHERE, and sorting
- Arithmetic and string functions in SQL
- Inner and outer joins; self-joins
- Set operations: UNION, INTERSECT, EXCEPT
- Subqueries: scalar, correlated, and EXISTS
Modification and schema
- INSERT, UPDATE, DELETE with conditions
- CREATE and ALTER TABLE; constraints and defaults
- Primary keys, foreign keys, and referential actions
- Views and common table expressions (CTEs)
- Window functions: ROW_NUMBER, RANK, LAG/LEAD (intro)
STEM / applied
Analytics and reporting
- Pivoting and conditional aggregation for dashboards
- Date/time handling and fiscal period reporting
- Cohort and funnel queries for product analytics
- Exporting results for Excel, R, or Python pipelines
- Performance tuning: indexes and selective filters
Platform specifics
- PostgreSQL vs MySQL vs SQL Server dialect differences
- Stored procedures and parameterized queries
- Role-based access and row-level security (intro)
- Integrating SQL with BI tools (Tableau, Power BI intro)
- Data quality checks with constraint queries
Notes
Standalone SQL courses appear in analytics, business, and CS programs; dialect and tool choice follow your syllabus.