https://github.com/mi7773/advanced_sql_data_analytics_project

A hands-on SQL project simulating data analysis using fact and dimension tables, covering trends over time, cumulative metrics, performance breakdowns, segmentation, and reporting via SQL.
https://github.com/mi7773/advanced_sql_data_analytics_project

analytics business-analytics business-intelligence data data-analysis data-analyst data-analytics database query reporting sql sql-queries sql-query sql-server window-functions window-functions-in-sql

Last synced: 6 months ago
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A hands-on SQL project simulating data analysis using fact and dimension tables, covering trends over time, cumulative metrics, performance breakdowns, segmentation, and reporting via SQL.

• Host: GitHub
• URL: https://github.com/mi7773/advanced_sql_data_analytics_project
• Owner: mi7773
• Created: 2025-07-12T15:21:45.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-07-12T16:04:39.000Z (7 months ago)
• Last Synced: 2025-07-12T17:53:13.366Z (7 months ago)
• Topics: analytics, business-analytics, business-intelligence, data, data-analysis, data-analyst, data-analytics, database, query, reporting, sql, sql-queries, sql-query, sql-server, window-functions, window-functions-in-sql
• Language: TSQL
• Homepage:
• Size: 829 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# SQL Data Analysis Portfolio Project

This project is based on the YouTube tutorial  

🎥 [SQL Data Analyst Portfolio Project | Like I Do in My Real Projects](https://www.youtube.com/watch?v=2jGhQpbzHes)

It simulates a real-world SQL data analysis scenario, covering different types of analysis and reporting.

---

## 📌 Objectives

The project demonstrates how to:

- Analyze data over time

- Perform cumulative and performance analysis

- Execute part-to-whole and segmentation analysis

- Generate actionable insights through SQL reports

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## 🔍 Analysis Types

- 📈 **Changes Over Time**

- 📊 **Cumulative Analysis**

- 🚀 **Performance Analysis**

- 🧩 **Part-to-Whole Analysis**

- 🔍 **Data Segmentation**

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## 📋 Final Deliverables

Two comprehensive reports saved as **SQL views**:

- **Customer Report** → `08_customer_report.sql`

- **Product Report** → `09_report_customers_view.sql`

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## 🛠️ SQL Techniques Used

- Basic SQL: `SELECT`, `FROM`, `WHERE`, `GROUP BY`, `ORDER BY`

- Intermediate: `CASE WHEN`, `JOINS`

- Advanced: `Window Functions`, `CTEs`, `Subqueries`

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## 📂 Files

### `scripts/` — SQL Analysis & Reporting Scripts

| File                                  | Description                                        |

|---------------------------------------|----------------------------------------------------|

| `00_init_database.sql`               | Initializes database schema and tables             |

| `01_changes_over_time_analysis_month.sql` | Analyzes sales trends on a monthly basis     |

| `02_changes_over_time_analysis_year.sql`  | Analyzes sales trends on a yearly basis      |

| `03_cumulative_analysis.sql`         | Calculates cumulative metrics over time            |

| `04_performance_analysis.sql`        | Evaluates sales performance across dimensions      |

| `05_part_to_whole_analysis.sql`      | Analyzes sales contribution by segments            |

| `06_data_segmentation_cost.sql`      | Segments data based on cost-related criteria       |

| `07_data_segmentation_customer.sql`  | Segments data by customer characteristics          |

| `08_customer_report.sql`             | Constructs customer report logic                   |

| `09_report_customers_view.sql`       | Creates a view for the customer report             |

| `10_product_report.sql`              | Constructs and saves the product report as a view  |

### `dataset/` — Source Data Tables

| File                          | Description                                |

|-------------------------------|--------------------------------------------|

| `gold.fact_sales.csv`         | Fact table containing transactional sales data |

| `gold.report_customers.csv`   | Dimension table for customer information |

| `gold.report_products.csv`    | Dimension table for product information  |

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## 💬 Feedback

If you have suggestions for improvements or feedback, feel free to connect on [LinkedIn](https://www.linkedin.com/in/mi7773).

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## 📎 Credits

Inspired by the tutorial:

[SQL Data Analyst Portfolio Project | Like I Do in My Real Projects](https://www.youtube.com/watch?v=2jGhQpbzHes)