🛒 An Advanced SQL project using the Google Analytics 2017 dataset to perform data analysis through 8 complex operational queries. | SQL
🌟 Application Behavior Analysis 🌟 Using the Online Shoppers Intention dataset, it tracks engagement, drop-offs, and conversion trends. Conducted analysis with Python, Pandas, Matplotlib, and Seaborn to uncover behavioral insights. Focused on identifying exit points, improving user flow, and boosting conversion rates.
Add a description, image, and links to the conversion-funnel-analysis topic page so that developers can more easily learn about it.
To associate your repository with the conversion-funnel-analysis topic, visit your repo's landing page and select "manage topics."