8 SQL Project Ideas for your Resume: Beginner to Advanced

To showcase your proficiency in SQL to prospective or current employers, it's essential to undertake personal projects. This practical approach will enable you to implement your expertise in real-life situations and enhance your skills effectively.

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1. Analyzing motorcycle parts sales

In this  SQL project, you will explore the data of a company that sells motorcycle parts. The focus will be on gaining insights into their wholesale sales over time across three warehouse sites, aiming to assist you in understanding your revenue streams better. Specifically, you will determine how much net revenue the company will generate across its product lines each month and at each warehouse.

Level : Beginner 

What you’ll learn :

• How to aggregate and summarize data to derive meaningful insights .
• How to write SQL queries to extract, manipulate, and analyze data stored in a relational database
• Reporting skills to effectively communicate your findings.
• How to translate raw data into actionable information for decision-makers

Tools to be used : 

• Choose a DBMS such as MySQL, PostgreSQL, or Microsoft SQL Server to store and manage the motorcycle part sales data.
• Utilize a SQL editor or query tool like SQL Server Management Studio, DBeaver, or pgAdmin for writing and executing SQL queries.
• Use a reporting tool like Tableau, Power BI, or Looker to visualize and communicate insights derived from the SQL analysis.
• You might use tools like Excel or Python with pandas for additional data manipulation and analysis

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2. Employee payroll management system 

The primary objective of this project is to develop a comprehensive Payroll Management System , leveraging the NYC Payroll dataset to facilitate efficient tracking, analysis, and reporting of employee salary and related information.

Level : Beginner 

What you’ll learn :

• To extract specific information related to employee salaries, agencies, job titles, and work locations using SQL queries.
• Principles of designing relational databases to store and organize information efficiently.
• Data Visualization for generating comprehensive reports on payroll metrics.

Tools to be used : 

• MySQL, PostgreSQL, or Microsoft SQL Server To create and manage the SQL database where the NYC Payroll data will be stored.
• SQL Server Management Studio (SSMS), DBeaver,t o write and execute SQL queries
• Tableau, Power BI, or any other data visualization tool for visualizing payroll metrics through charts and graphs to create visually appealing reports.

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3. Mental Health in the Tech Industry

In this exciting  SQL project, you'll use your SQLite skills to study employee data in the IT business, focusing on their perspectives on mental health. The primary goal of this basic SQL project is to investigate and analyze attitudes of mental health, as well as the prevalence of mental health illnesses, particularly in the technology industry.

Level : Beginner  

What you’ll learn :

• Writing SQL queries for data retrieval, filtering, and analysis.
• Using SQL queries to explore database tables and relationships.
• Data cleaning and manipulation using pandas library and Excel

Tools to be used : 

• SQLite database
• Python pandas library and Excel.

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4. Analyzing Carbon Emissions 

In today's world, where people care about the environment, this project helps to  look at information about carbon emissions. This project involves checking data on carbon emissions, how much energy you use, and renewable energy sources. Using SQL, you'll see how emissions have changed over time, see if policies or efforts are working, and come up with ideas to reduce your carbon footprint. This project lets you help the environment and shows that you can use data to solve environmental problems.

Level : Beginner 

What you’ll learn : 

• Summarizing subsets 
• Filtering grouped data
• Data manipulation 

Tools to be used : 

• Tools such as Tableau, Power BI, or Google Data Studio to make visualizations and interactive dashboards.
•  Python for in-depth analysis, statistical modeling, and implementing machine learning algorithms.

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5. Blood Bank Management

This project focuses on managing a blood bank dataset through SQL, overseeing blood types, donors, recipients, and units. It demonstrates expertise in healthcare data handling, optimizing blood supply, and ensuring timely availability. The project showcases skills in data management and analysis within the sensitive environment of a blood bank.

Level : Intermediate  

What you’ll learn :

• Aggregate functions to summarize and analyze blood bank data.
• Optimizing SQL queries for efficiency and performance in managing large datasets.

Tools to be used :

• SQL alone can handle the project ‍

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‍6. Analyzing American baby name trends

What makes a name always liked or just popular for a short time? In this project, you'll look at information from the U.S. Social Security Administration that goes back over a hundred years. This will help you understand what names people in America have liked for their babies over time.

Level : Advanced 

What you’ll learn : 

• Ranking, grouping, joining, ordering, and pattern matching skills

Tools to be used : SQL 

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7. Optimizing Online Sports Retail Revenue

In the project aimed at maximizing revenue for an online sports clothing company you will extensively explore product data. The ultimate objective is to formulate recommendations that will help the company enhance its revenue. The dataset encompasses diverse information distributed across multiple tables, covering aspects such as prices, discounts, revenue, ratings, reviews, product descriptions, and website traffic.

Level : Advanced 

What you’ll learn : 

• Advanced SQL skills such as aggregation, summarizing, truncating, cleaning, labeling, casting, common table expressions, correlation, and working with dates and times. 

Tools to be used : 

• Complete analysis done only using SQL

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8. Analyzing unicorn companies

Explore booming industries and investment opportunities using a MySQL database to analyze unicorn companies worth over $1 billion. Identify high-valuation sectors and examine annual new unicorn production from 2019 to 2021. Leverage the rise of amateur investors and accessible trading platforms to understand global companies' financial performance for informed investment decisions.

Level : Advanced 

What you’ll learn : 

• Develop proficiency in constructing complex SQL queries for intricate data analysis.
• To optimize SQL queries for efficiency and simplicity.
• Visualization of results using Tableau for better understanding by stakeholders. 

Tools to be used :  

• MySQL for data preparation and cleaning.
• Tableau for data visualization 

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Conclusion 

This blog  talks about practical SQL projects that you can use to practice and improve your database skills. If you're a beginner, the SQL projects with source code mentioned here are a great way to begin testing your understanding of databases.