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Data EngineeringBeginner → ExpertNEW
SQL Mastery for Data Engineering
Master every SQL skill needed for data engineering roles — JOINs, aggregations, CTEs, window functions, query optimisation, data transformation, and 300 interview-ready questions.
4.9rating1,654 students7h 20m total8 lessons
1 Projects
What you'll learn
Write SELECT queries with filtering, sorting, and complex conditions
Master all JOIN types — INNER, LEFT, RIGHT, FULL, SELF, CROSS, and anti-joins
Aggregate data with GROUP BY, HAVING, and analytical functions
Write CTEs (WITH clauses) including recursive CTEs for hierarchical data
Apply window functions: RANK, ROW_NUMBER, LAG, LEAD, SUM OVER, NTILE
Optimise slow queries with indexes, EXPLAIN ANALYZE, and execution plans
Transform data with CASE, COALESCE, PIVOT, and string/date functions
Answer 300 SQL interview questions at any level
Final Project
Build an e-commerce analytics dashboard with 8 business reports using only SQL — cohort analysis, revenue by market, rolling averages, and funnel metrics
Curriculum
8 lessons · 7h 20m1
SQL Fundamentals: SELECT, WHERE, and Sorting
35 min
2
JOINs: INNER, LEFT, FULL, SELF, and Anti-Joins
45 min
3
Aggregations, GROUP BY, HAVING, and Subqueries
40 min
4
CTEs, Window Functions, and Analytics
50 min
5
Project: E-Commerce Analytics (8 Reports)
60 min
6
Interview Prep: Medium (Q1–Q100)
60 min
7
Interview Prep: Advanced (Q101–Q200)
60 min
8
Interview Prep: Expert (Q201–Q300)
60 min
Course Info
Lessons8 lessons
Total time7h 20m
LevelBeginner → Expert
Students1,654
Rating4.9 / 5.0