Football soccer analysis

I'm excited to share Final Power BI project, analyzing a football dataset to extract meaningful insights by answering key business questions through SQL queries and Power BI visualizations. The dataset includes various tables such as players, clubs, appearances, transfers, and games. These tables provide comprehensive data on player statistics, club performance, game outcomes, and transfer activities across multiple seasons. Project Actions

1. Collected and cleaned data named football soccer

2. Built an interactive Power BI dashboard

3. Created detailed KPIs to measure app performance and user engagement.

Tools Used in Project

- SQL for analyzing the business problem statement

- Power BI for visualization of business problems

- MS Word for documentation. Key insights include identifying the top-performing players based on goals, assists, and minutes played, club performance trends across various competitions, and patterns in the football transfer market. Additionally, the analysis provided valuable metrics for understanding player valuation trends, the impact of transfers on club success, and performance indicators for managers and clubs

Importance of the Analysis

Football data analysis is critical for clubs, managers, and business professionals in the sports industry. In the highly competitive world of football, data-driven insights are essential for making informed decisions about player signings, team strategies, and financial investments