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40+ Practice Questions
7+ Real Datamarts
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Practice Questions

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Industry Datamarts

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Practical Learning

40+ SQL Practice Questions
For Real-World Scenarios

Our carefully crafted practice questions cover everything from basic joins to advanced window functions, spanning multiple industries and real-world data challenges.

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Difficulty Distribution

Basic
35%
Intermediate
40%
Advanced
25%

Topics Covered

Joins & Relationships
12
questions
Aggregations
8
questions
Window Functions
6
questions
Subqueries
7
questions
Data Manipulation
7
questions
Avg. completion rate
68%
Beginner
Intermediate
Advanced
SELECT e.name, d.name
FROM employees e
JOIN departments d
ON e.dept_id = d.id
Musicfy
Spotify look-alike datamart
4 tables
Healthcare
Stand-alone table
1 table
E-Commerce
Multi-table datamart
5 tables
Fitness
Workout tracking tables
3 tables
Education
Complete education system
8 tables
Box Office
Stand-alone box office data
1 table
Video Games
Gaming sales data
1 table
SELECT artist_name,
COUNT(stream_id) as streams
FROM musicfy.streams
GROUP BY artist_name
Real-world data structures

7 Complete Datamarts to
Hone Your SQL Skills

Connect to industry-specific database structures that mirror what you'll encounter in real jobs. From music streaming to healthcare, box office to video games, build skills that employers actually need.

Industry-standard schemas and relationships

Practice with database models used by real tech companies

Realistic Table Relationships

Handle complex many-to-many and hierarchical data models

Diverse Data Examples

From Spotify-like music data to healthcare claims analysis

Instant Query Validation

Get immediate feedback on your SQL approach and efficiency

Data Exploration Tools

Interactive schema browsers and data dictionaries

Join 100+ SQL learners working with realistic data

Premium Portfolio Builder

Stand Out to Employers
With Your SQL Portfolio

Our SQL Portfolio Creator transforms your practice work into an impressive showcase of your database skills. Include your best queries, explanations, and visualizations that demonstrate your problem-solving approach.

85% of employers specifically look for SQL portfolios

Showcase your practical skills to stand out from other candidates

Query Annotations

Add detailed explanations that showcase your problem-solving approach

Skill Certification

Showcase your verified completion of our practice questions

LinkedIn Integration

Add a direct link to your professional profile for recruiters

GitHub Connection

Link to your GitHub repositories to showcase related projects

Join 100+ SQL learners who got interviews using our portfolio

SQL Portfolio

A showcase of SQL expertise and problem-solving approach

Customer Re-engagement Strategy

E-Commerce

This query identifies high-value customers who haven't purchased in the last 90 days - perfect candidates for a targeted re-engagement campaign with personalized incentives.

-- Finding high-value customers who haven't purchased recently
SELECT 
  c.customer_id,
  c.email,
  c.first_name,
  c.last_name,
  SUM(o.total_amount) AS lifetime_value,
  COUNT(o.order_id) AS order_count,
  MAX(o.order_date) AS last_order_date,
  DATEDIFF(CURRENT_DATE, MAX(o.order_date)) AS days_since_last_order
FROM customers c
JOIN orders o ON c.customer_id = o.customer_id
GROUP BY c.customer_id, c.email, c.first_name, c.last_name
HAVING SUM(o.total_amount) > 500 
  AND DATEDIFF(CURRENT_DATE, MAX(o.order_date)) > 90
ORDER BY lifetime_value DESC
LIMIT 50;
NOTES & EXPLANATION
This query identifies valuable customers who haven't made a purchase in the last 90 days. These are prime candidates for a targeted re-engagement campaign to bring them back to the platform. Key insights: - Focuses on customers with lifetime spend over $500 - Shows days since last purchase for urgency assessment - Sorted by highest lifetime value for prioritization - Limited to top 50 to create a manageable outreach list

SQL Practice Achievements

Overall Progress32/40 Questions
Basic15/15
Intermediate12/15
Advanced5/10
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