This capstone project is the final part of the Google Data Analytics Certificate on Coursera. I took on the role of a data analyst in the marketing analyst team of Cyclistic, a fictional bike-share company.
In 2016, Cyclistic launched a successful bike-share offering. Since then, the program has grown to a fleet of 5,824 bicycles that are geotracked and locked into a network of 692 stations across Chicago. The bikes can be unlocked from one station and returned to any other station in the system anytime.
The director of marketing, Lily Moreno, believes the company’s future success depends on maximizing the number of annual memberships. Moreno believes that targeting casual riders are the key because they are already aware of the Cyclistic program and have chosen Cyclistic for their mobility needs. Therefore, our team wants to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, we will design a new marketing strategy to convert casual riders into annual members.
How do annual members and casual riders use Cyclistic bikes differently?
I used R for Data Cleaning, Data Analysis and Data Visualization.
The data set is publicly available here. It has been made publicly available by Motivate International Inc under this license.