Intermediate Python Project: Netflix 1990s Movie Analysis

Welcome to my project repository!

This project was created as part of the Intermediate Python course on DataCamp. It applies various Python concepts in a real-world context by analyzing Netflix movie data from the 1990s.

📁 Project Files

• notebook.ipynb: Jupyter notebook containing the full analysis
• netflix_data.csv: Dataset used for the analysis

📌 Key Concepts Applied

• Data cleaning and preprocessing using pandas
• Filtering and manipulating DataFrames
• Numerical operations with NumPy
• Data visualization using matplotlib
• Conditional logic, loops, and functions
• A real-world case study using hacker statistics

🎯 Project Summary

The project focuses on Netflix movies released in the 1990s:

• Identified the most frequent movie duration
• Filtered and counted short action movies (less than 90 minutes)
• Explored movie genres, directors, and runtime distributions

🚀 Outcome

By completing this project, I:

• Strengthened my practical understanding of Python for data analysis
• Learned how to structure, explore, and visualize real datasets
• Applied core skills in a relevant and industry-based context

Thanks for visiting!