In this project, I investigated whether women scored more goals than men in FIFA World Cup matches from 2002 onwards. Using historical World Cup data, I conducted an exploratory data analysis (EDA) to compare goal-scoring trends in men’s and women’s tournaments. The analysis involved data cleaning, filtering, and visualization using Pandas, NumPy, Matplotlib, and Seaborn to uncover patterns and insights. Key findings provided a statistical comparison of goal averages per match across both competitions, offering a data-driven perspective on scoring trends in international football.

My Education

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matriculation in computer sciencefazaia inter college | 2024

About Me

Hi my name is Muhammad Ibrahim Awan I have been studying data science in python and SQL for the past 1.5 years after dropping from college my only goal is to be perfect in coding and to do job with full dedication and motivation so i am open anytime

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ibrahim irfan

Data Analyst

fazia inter college | Pakistan

Introduction to Python

Introduction to Python

Machine learning maverick, riding the wave of algorithms to new frontiers.

My Work

Data Manipulation with pandas

Introduction to Statistics in Python

Introduction to SQL

Introduction to Python

Intermediate Python

Data Manipulation with pandas

DataCamp Course Completion

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ibrahim | Jan 2025 - Present

investigating of fifa world cup

My Education

About Me