End-to-End Data Analysis Project | Python

📊 End-to-End Data Analysis Project | Python

I’m excited to share one of my recent practical projects as part of my Professional Data Analysis track with Digital Egypt Pioneers Initiative - DEPI

In this project, I built an end-to-end data analysis pipeline using a population dataset, starting from raw data and moving through several analysis and preprocessing stages.

🔹 What I worked on:

• Data ingestion & initial exploration

• Data cleaning & missing values handling

• Feature engineering

• Grouping, aggregation & pivot tables

• Feature scaling using MinMaxScaler & StandardScaler

• Outlier detection using Z-scores

• Data visualization using Matplotlib & Seaborn

• Correlation analysis

🛠️ Tools & Libraries:

Python | Pandas | NumPy | Matplotlib | Seaborn | Scikit-learn | Google Colab

This project helped me strengthen my practical understanding of the data analysis workflow and how to turn raw data into meaningful insights.

Still learning, practicing, and building more projects 🚀

#Python #DataAnalysis #Pandas #NumPy #Matplotlib #Seaborn #ScikitLearn #DataAnalytics #DEPI #LearningJourney