Netflix Data Analysis in Python (Pandas & Matplotlib) | Real-World Business Questions & Insights

In this project, I analyze a real Netflix dataset using Python, Pandas, and Matplotlib to answer practical business questions and uncover actionable insights. This tutorial covers the full data analysis workflow, including data loading, cleaning, transformation, exploratory analysis, and visualization. Key business questions answered include:• Which genres dominate Netflix’s catalog• How Netflix content production changed over time• Movie vs TV show distribution• Country-level content contribution• Content rating distribution• Release trends and catalog growth• Strategic insights from the analysis Technical skills demonstrated:• Python for data analysis• Pandas for data cleaning and transformation• Exploratory Data Analysis (EDA)• Matplotlib for data visualization• Answering business questions with data• Real-world portfolio project workflow This project is suitable for:• Data analyst portfolio projects• Beginners learning Pandas and Matplotlib• Anyone preparing for data analyst interviews• Students learning real-world data analysis Tools used:Python, Pandas, Matplotlib, Jupyter Notebook (vscode) Netflix dataset: https://drive.google.com/file/d/1-VCN8CfPjXkfoUFUOLQiRGzXh4sSEcZo/view?usp=sharing If you're building your data analyst portfolio, this is a complete real-world example. Keywords:netflix data analysis python, pandas netflix analysis, matplotlib data visualization tutorial, python data analysis project, data analyst portfolio project python, exploratory data analysis python, pandas project tutorial, netflix dataset analysis, python pandas matplotlib project, business questions data analysis, data analysis tutorial python, data analyst project for beginners, real world data analysis project, python eda tutorial, portfolio project data analyst, netflix python tutorial, pandas visualization matplotlib, python analytics project, data analysis portfolio project, netflix eda python