Python-for-Data-Analysis

Hands-on Python data analysis projects using Pandas and NumPy.

Welcome to my Python for Data Analysis repository!

This repository documents my learning journey in Python for Data Analysis through hands-on projects and practical exercises.

Skills Covered

• Python Programming
• Pandas
• NumPy
• Data Cleaning
• Data Manipulation
• DataFrames
• CSV Files
• Data Analysis

Projects

🚗 Project 01 — Saudi Used Cars Analysis

Description

Exploratory Data Analysis (EDA) of more than 8,000 used car listings in Saudi Arabia using Python.

Skills Applied

• Data Cleaning
• Data Visualization
• Exploratory Data Analysis (EDA)
• Pandas
• NumPy
• Matplotlib

Key Findings

• Toyota is the most common car brand.
• Luxury brands have the highest average prices.
• Newer cars generally have higher prices.
• Automatic cars have a higher average price than manual cars.
• Hybrid vehicles have the highest average price in this dataset.
• Higher mileage is generally associated with lower prices.

Files

• Saudi_Used_Cars_Analysis.ipynb
• UsedCarsSA.csv

More projects will be added as I continue my Data Science journey.

Author

Hala Mohsen Jan

Data Science Student @ Umm Al-Qura University