5 Real-World SQL Projects with Datasets to Boost Your Resume in 2025

📊 Want to Boost Your Resume and Stand Out in Tech Interviews?

SQL is a must-have skill for anyone entering data analytics, business intelligence, or database development. But knowing the syntax isn’t enough—real-world project experience is what sets you apart from other candidates.

In this post, we’ve handpicked 5 powerful SQL projects using real datasets from industries like e-commerce, healthcare, and sales. These projects help you master concepts like:

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬
  • Joins and aggregations
  • Subqueries and CTEs
  • Window functions
  • Grouping and filtering data
  • Business insights and reporting

Whether you’re a beginner or prepping for interviews, these projects are perfect to showcase in your portfolio.

🚀 1. Web Analytics Using Wine Review Data

📌 Dataset Link

Analyze thousands of wine reviews to identify user behavior patterns, preferences, and top-rated products by country or price range. A great project to practice text filtering, ranking functions, and summary reporting.

✅ Skills Covered: Text-based queries, filtering, GROUP BY, RANK()

🚑 2. Healthcare Data Analysis

📌 Dataset Link

Dive into U.S. mortality data to uncover trends by cause, age group, or region. Ideal for learning how to slice large datasets and visualize health indicators through SQL queries.

✅ Skills Covered: Aggregations, CASE statements, data segmentation

🛒 3. E-Commerce Sales Analysis

📌 Dataset Link

Explore customer orders, delivery times, payment methods, and seller performance from a real Brazilian e-commerce company. This end-to-end project is ideal for learning joins across multiple tables.

✅ Skills Covered: Multi-table joins, customer behavior analysis, KPI extraction

📦 4. Inventory Management System

📌 Dataset Link

Simulate a retail inventory management scenario with stock, suppliers, and product flow. Helps build logic around reorder points, stock availability, and warehouse planning.

✅ Skills Covered: Joins, subqueries, inventory KPIs, stock movement tracking

📈 5. Sales Data Analysis

📌 Dataset Link

Use transactional sales data to calculate revenue, profits, sales by region or time period, and product performance. Great for applying window functions and trend analysis.

✅ Skills Covered: Window functions, trend reports, profit margin calculations

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