Complete Data Analyst Portfolio Project - SQL & Tableau

This hands-on project is designed to take you through the complete workflow of a real-world Data Analyst project, from raw data to a live, portfolio-ready solution. You will work with business data, explore and clean the dataset using SQL, perform data analysis, identify meaningful business insights, and transform your findings into an interactive Tableau dashboard.

The project goes beyond SQL and Tableau. You will also learn how to organize your project on GitHub, publish your Tableau dashboard on Tableau Public, document your work professionally, and deploy your project live so that you can share it with recruiters, hiring managers, and interviewers.

What You'll Learn

• Understand the complete workflow of a real-world Data Analyst project.
• Explore and understand a business dataset before starting analysis.
• Clean and prepare data using SQL.
• Write SQL queries to answer real business questions.
• Use filtering, aggregation, joins, subqueries, CTEs, and window functions.
• Perform exploratory and business-focused data analysis.
• Identify KPIs, trends, patterns, and actionable business insights.
• Connect SQL data with Tableau for visualization.
• Create calculated fields, parameters, filters, and interactive charts in Tableau.
• Design a professional and recruiter-friendly Tableau dashboard.
• Publish the completed dashboard on Tableau Public.
• Create and structure a professional GitHub repository.
• Write a project README with business problem, SQL queries, insights, and dashboard details.
• Deploy the project live and create a shareable portfolio link.
• Present your project effectively in your Data Analyst resume and interviews.

Project Workflow

1. Understand the business problem and project requirements.
2. Explore the dataset and understand tables, columns, and relationships.
3. Perform data cleaning and preparation using SQL.
4. Perform exploratory data analysis using SQL.
5. Write business-driven SQL queries and generate insights.
6. Define KPIs and metrics required for the dashboard.
7. Connect the analyzed data with Tableau.
8. Build charts, KPIs, filters, parameters, and interactive visualizations.
9. Design the final Tableau dashboard using data storytelling principles.
10. Publish the dashboard on Tableau Public.
11. Create a professional GitHub repository for the project.
12. Add SQL scripts, documentation, screenshots, insights, and project resources to GitHub.
13. Deploy the project live and create a shareable project URL.
14. Prepare the project for your resume and Data Analyst portfolio.

SQL Analysis

• Database and table exploration
• Data quality checks
• NULL and duplicate handling
• Filtering and sorting
• GROUP BY and aggregate functions
• INNER JOIN and LEFT JOIN
• Subqueries and CTEs
• CASE statements
• Date and time analysis
• Window functions
• Ranking and trend analysis
• KPI and business metric calculations
• Business question-based SQL analysis

Tableau Dashboard

• Connect Tableau with the project dataset.
• Prepare and organize data for visualization.
• Create KPI cards and summary metrics.
• Build sales, customer, product, and trend visualizations.
• Create calculated fields.
• Use filters, parameters, sets, and groups.
• Create interactive dashboard components.
• Apply dashboard design and data storytelling principles.
• Optimize dashboard layout and user experience.
• Publish the final dashboard on Tableau Public.

GitHub Portfolio Setup

• Create a professional GitHub repository.
• Organize SQL scripts and project files.
• Add dataset and data dictionary information where appropriate.
• Document the business problem and project objectives.
• Add SQL analysis and key findings.
• Add Tableau dashboard screenshots and Tableau Public link.
• Create a professional README.md file.
• Structure the repository so recruiters can easily understand the project.

Live Deployment & Portfolio

• Publish the Tableau dashboard on Tableau Public.
• Create a live project page for sharing with recruiters.
• Connect project documentation with GitHub.
• Add Tableau Public and GitHub links to your portfolio.
• Understand how to present the project professionally.
• Prepare project highlights for your resume and LinkedIn profile.

Who This Project Is For

This project is ideal for aspiring Data Analysts, students, freshers, career switchers, and professionals who want to build a practical portfolio project using SQL and Tableau. It is especially useful for anyone preparing for Data Analyst interviews or looking to demonstrate real-world project experience to recruiters.

Prerequisites

• Basic understanding of SQL is recommended.
• Basic familiarity with data analysis concepts is helpful but not mandatory.
• No advanced Tableau experience is required.
• A GitHub account is recommended for publishing the project.
• A Tableau Public account is recommended for publishing the dashboard.

Final Project Deliverables

• Complete SQL analysis with business-focused queries.
• Professional Tableau dashboard.
• Published Tableau Public dashboard.
• Professional GitHub repository.
• Project README documentation.
• Business insights and key findings.
• Live shareable project link.
• Portfolio-ready Data Analyst project.

Course Outcome

By the end of this project, you will have completed an end-to-end Data Analyst project that demonstrates your ability to work with SQL, analyze business data, build Tableau dashboards, communicate insights, document your work on GitHub, publish your dashboard on Tableau Public, and deploy your project live. The final project can be showcased directly in your resume, portfolio, LinkedIn profile, and Data Analyst interviews.