A data analysis project focused on exploring and visualizing Netflix content using Excel, SQL, and Power BI to uncover trends in movies, TV shows, genres, ratings, and content distribution.
This project analyzes Netflix's content library to identify patterns and insights related to content types, release years, ratings, countries, and genres. The project demonstrates the complete data analytics workflow, from data cleaning and exploration to dashboard creation and business insights.
✅ Data cleaning and preprocessing ✅ Content type analysis (Movies vs TV Shows) ✅ Genre distribution analysis ✅ Rating and maturity classification analysis ✅ Country-wise content distribution ✅ Release year trend analysis ✅ Interactive Power BI dashboard ✅ SQL-based data exploration
- 📊 Microsoft Excel – Data cleaning and preparation
- 🗄️ SQL – Data analysis and querying
- 🛠️ MySQL Workbench – Query execution and database management
- 📈 Power BI – Dashboard creation and visualization
- Removed null values
- Standardized data formats
- Corrected inconsistencies
- Prepared dataset for analysis
- Total number of Movies and TV Shows
- Most common content ratings
- Top countries producing content
- Genre analysis
- Interactive dashboard
- Content type breakdown
- Country-wise analysis
Add screenshots of:
- Data Cleaning
- SQL Query Writing
- Exploratory Data Analysis (EDA)
- Dashboard Development
- Data Visualization
- Business Insight Generation
Afreaz
🎓 BCA Graduate 📊 Aspiring Data Analyst 🐍 Learning Python, SQL, Excel, and Power BI
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