📊 Sales Conversion & Marketing Funnel Analysis This project performs Exploratory Data Analysis (EDA) and Statistical Testing on a marketing dataset to uncover customer behavior patterns, conversion rates, and campaign effectiveness. Visualizations and insights are derived using Python libraries such as Pandas, NumPy, Seaborn, Matplotlib, Plotly, and SciPy. Additionally, MySQL Workbench was used for database queries, and results were presented via PowerPoint.
🧰 Tools & Libraries Used Data Handling: pandas, numpy
Visualization:
Static: matplotlib, seaborn
Interactive: plotly.express
Statistical Analysis: scipy.stats
Database: MySQL with Workbench
Presentation: Microsoft PowerPoint
Project Structure: ├── Sales Conversion & Marketing Funnel Analysis.ipynb ├── marketing_campaign.csv ├── visuals/ │ ├── income_vs_education.png │ ├── spending_by_category.png │ └── response_heatmap.html ├── queries/ │ └── marketing_queries.sql ├── presentation/ │ └── final_summary.pptx └── README.md