The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.

This repository helps you gain valuable insights from your sales data using SQL and RFM analysis and segment customers based on their RFM score and the churn rate.

Pizza Sales Report project, where we leverage SQL for data analysis and Power BI for creating interactive visualizations. This project provides in-depth insights into pizza sales data, including daily and monthly trends, sales by pizza category and size, and identifying top-selling pizzas based on revenue, quantity, and total orders.

Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.

Explore and analyze data with this SQL-based project. Utilizing SQL queries, joins, aggregations, and subqueries, uncover valuable insights in the dataset. Access the SQL scripts for detailed analysis and insights extraction.

Containing data analysis with SQL projects on various topic

Advanced MySQL to analyze marketing campaigns. Where our website traffic is coming from, how different sources perform in terms of traffic volume and conversion rates, and how we can adjust bids to optimize our budgets among other busyness request.

This project aims to create a comprehensive data analysis system based on the Wide World Importers (WWI) database.