Python for Data Analysis: Hotel Booking Trends, Cancellations & Guest Insights

Unlock hotel booking data insights with Python! In this comprehensive video, we’ll take you through the entire process of analyzing hotel booking trends, monthly cancellations, guest demographics, and more, all using Python’s powerful data analysis tools. From understanding which months have the highest cancellations to exploring patterns in repeated vs. new guests and identifying the countries where most guests come from, this video will guide you in transforming raw hotel data into actionable insights.

In addition to the data insights, we’ll explore the data life cycle—a structured approach for managing data projects, from data collection to insight generation. Starting with gathering raw hotel booking data, we’ll move through data cleaning, exploration, visualization, and analysis, demonstrating how each stage informs and enriches our understanding of the trends. You'll learn how hotels can use these insights to improve marketing strategies, enhance guest satisfaction, and boost loyalty programs.

Throughout the video, you’ll see practical applications of Python libraries like pandas and matplotlib, and understand how to apply data analytics methods to real-world datasets. If you're interested in hotel management, data-driven decision-making, or are a data analysis beginner looking to improve your Python skills, this video is for you!

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Here is the link to the dataset and full code: https://github.com/RaheemYusuf/pythonforDataAnalysis

Connect with me on LinkedIn: https://www.linkedin.com/in/yusufraheem/

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