Mining purchasing patterns between item categories

A five year-over-year analysis of purchasing trends and correlations

A zone-by-zone analysis of frequently purchased parts and itemsets.

Mining the Marine Fasteners database and applying an Apriori algorithm to find frequent itemsets.

This project is part of the Google Data Analytics Professional Certificate, taught through Coursera. As my capstone project, I was tasked with completing the following analysis. Chicago-based bike share company Cyclistic is designing a marketing campaign to convert casual riders (those who purchase single-ride or all-day passes) into annual members. They are requesting data analysis to determine the best strategies for an effective campaign.