تفاصيل العمل

This project analyzes Airbnb listings in Amsterdam to uncover patterns in neighborhood activity, pricing behavior, and amenity impact. Using Python, SQL, and Power BI, the study transforms raw data into actionable insights that highlight how amenities influence guest satisfaction and how pricing strategies vary across neighborhoods.

The findings provide clear recommendations for Airbnb and hosts to optimize listings, improve customer experience, and increase revenue through data-driven decision-making.

ملفات مرفقة

بطاقة العمل

اسم المستقل
عدد الإعجابات
0
عدد المشاهدات
5
تاريخ الإضافة
تاريخ الإنجاز
المهارات