╔══════════════════════════════════════════════════════════════════════╗
║ ║
║ MASTER DATA & AI — SQL ENGINEERING PROGRAM ║
║ ║
║ Before Snowflake. Before Data Engineering. Before Analytics. ║
║ Before AI. There is SQL. ║
║ ║
╚══════════════════════════════════════════════════════════════════════╝
Most SQL courses teach you syntax.
This program transforms you into a Data Professional.
You will join DataVerse Inc. — a fictional company with real business problems. The CEO, HR Director, Sales Director, Finance Manager, Marketing Manager, and Chief Data Officer will send you tasks. You will solve them using SQL.
By the time you finish, you will not just know SQL.
You will think like a Data Architect.
┌─────────────────────────────────────────────────────────────────────┐
│ YOUR CAREER PROGRESSION │
├──────────┬──────────────────────────────────┬───────────┬──────────┤
│ LEVEL │ ROLE │ MISSIONS │ XP │
├──────────┼──────────────────────────────────┼───────────┼──────────┤
│ Lv. 1 │ Junior Data Analyst │ 1 – 2 │ 0-500 │
│ Lv. 2 │ Reporting Analyst │ 3 – 4 │ 500-1.5K│
│ Lv. 3 │ Analytics Engineer │ 5 – 6 │ 1.5-3K │
│ Lv. 4 │ Data Engineer │ 7 – 8 │ 3-4.5K │
│ Lv. 5 │ Senior Data Engineer │ 9 │ 4.5-6K │
│ Lv. 6 │ Snowflake Developer │ 10 – 11 │ 6-7.5K │
│ Lv. 7 │ Data Architect │ 12 – 13 │ 7.5-9K │
│ Lv. 8 │ AI & Agentic Systems Builder │ 14 │ 9-10K │
└──────────┴──────────────────────────────────┴───────────┴──────────┘
| Folder | Contents |
|---|---|
| 📂 SETUP/ | PostgreSQL, pgAdmin, DBeaver, Docker setup guides |
| 📂 DATASETS/ | 12+ realistic business datasets with DDL + data |
| 📂 MISSIONS/ | 14 story-driven SQL missions with exercises |
| 📂 PROJECTS/ | 8 capstone projects (HR, Sales, Finance, AI) |
| 📂 CHEATSHEETS/ | 9 professional PDF-ready cheat sheets |
| 📂 INTERVIEW_PREP/ | 300 SQL interview Q&A with explanations |
| 📂 QUIZZES/ | Knowledge check quizzes per mission |
| 📂 SOLUTIONS/ | Fully worked SQL solutions |
| 📂 DIAGRAMS/ | Architecture & concept visual diagrams |
| 📂 BLOGS/ | 20 technical blog posts (publish-ready) |
| 📂 LINKEDIN_POSTS/ | 20 engagement-optimized LinkedIn posts |
| 📂 NEWSLETTER_CONTENT/ | Newsletter templates |
New to SQL? → START-HERE.md
Want a plan?
- 30-DAY-PLAN.md — SQL Foundations
- 60-DAY-PLAN.md — Analytics Engineering
- 90-DAY-PLAN.md — Data Architect + AI
Need to install PostgreSQL? → SETUP/
You just received an email:
"Welcome to DataVerse Inc. Your title is Junior Data Analyst.
The CEO has requested your first report by end of day.
Your manager says: 'Don't worry — just open the database and start querying.'
Good luck."
Every mission is a real business request.
Every concept is justified by a business need.
Every skill you learn makes you more valuable.
| # | Mission | Business Request | SQL Concepts | XP |
|---|---|---|---|---|
| 01 | CEO Wants Workforce Insights | Board meeting tomorrow | SELECT, FROM, LIMIT, DISTINCT | 200 |
| 02 | HR Director Needs Employee Data | Headcount anomalies found | WHERE, AND, OR, IN, BETWEEN, LIKE, IS NULL | 400 |
| 03 | Finance Team Needs Reports | Budget review incoming | COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING | 600 |
| 04 | Sales Dashboard Emergency | Revenue numbers don't add up | JOINs (INNER, LEFT, RIGHT, FULL, CROSS, SELF) | 800 |
| 05 | Marketing Customer Intelligence | Campaign targeting needed | Subqueries, EXISTS, Correlated Subqueries | 700 |
| 06 | Data Team Needs Reusable Logic | Engineering velocity at risk | CTEs, Recursive CTEs, Materialized Views | 700 |
| 07 | Analytics Rankings + Trends | Exec dashboard required | Window Functions: ROW_NUMBER, RANK, LAG, LEAD | 800 |
| 08 | Enterprise Reporting Architecture | Multi-system consolidation | UNION, INTERSECT, EXCEPT | 500 |
| 09 | Database Performance Crisis | Queries timing out in prod | Indexes, Execution Plans, Partitioning, EXPLAIN | 1000 |
| 10 | Data Warehouse Design | BI tool migration project | Star Schema, SCD1, SCD2, Fact/Dim Tables | 1200 |
| 11 | Snowflake Migration Project | Cloud migration approved | Snowflake SQL, Streams, Tasks, Time Travel | 1000 |
| 12 | Data Engineering Pipelines | ETL modernization required | ETL, ELT, CDC, Data Quality, Airflow concepts | 900 |
| 13 | Analytics Use Cases | Executive KPI dashboard | CLV, Attrition, Funnel, Retention, Revenue | 800 |
| 14 | SQL for AI Systems | AI product launch | RAG, Vectors, Text-to-SQL, Agentic AI | 1100 |
Total Available XP: 10,500
graph TB
A[You - The Learner] --> B[DataVerse Inc.]
B --> C[Business Requests]
C --> D[SQL Missions]
D --> E{Level Up?}
E -->|Yes| F[New Role + Responsibilities]
E -->|No| G[More Practice]
F --> H[Capstone Projects]
H --> I[Portfolio Ready]
I --> J[Job Ready]
J --> K[Data Architect / AI Engineer]
BEGINNER INTERMEDIATE ADVANCED EXPERT
──────── ──────────── ──────── ──────
SELECT GROUP BY Window Functions AI + SQL
FROM HAVING CTEs RAG Systems
WHERE JOINs Recursive CTEs Vector Search
LIMIT Subqueries Data Warehouse Agentic AI
DISTINCT EXISTS Partitioning Text-to-SQL
ORDER BY UNION Indexes ML Pipelines
Filtering Set Operations Snowflake Architecture
Aggregations Correlated SQ SCD Types Performance
| # | Project | Stack | Outcome |
|---|---|---|---|
| 1 | HR Analytics Platform | PostgreSQL | Full workforce analytics dashboard |
| 2 | Sales Intelligence Platform | PostgreSQL | Revenue + pipeline reporting |
| 3 | Finance Analytics | PostgreSQL | P&L, budget vs actual |
| 4 | Customer 360 | PostgreSQL | Unified customer view |
| 5 | Data Warehouse Design | PostgreSQL | Star schema implementation |
| 6 | Postgres → Snowflake Migration | PG + Snowflake | Cloud DW migration |
| 7 | Text-to-SQL AI Assistant | PG + Python | NLP to SQL engine |
| 8 | Agentic AI Data Analyst | PG + LangChain | Autonomous SQL agent |
graph LR
subgraph "SQL Execution Order"
A[FROM] --> B[WHERE]
B --> C[GROUP BY]
C --> D[HAVING]
D --> E[SELECT]
E --> F[DISTINCT]
F --> G[ORDER BY]
G --> H[LIMIT]
end
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- 🍴 Fork and extend with your own missions
- 🐛 Open issues for errors or improvements
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MIT License — Free to use, fork, extend, and share.
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