This project was the capstone case study completed at the end of Google's professional certification course in Data Analytics, offered through Coursera. The objective was to compile a year's worth of ridership data and analyze the differences in how casual riders used the product compared to annual membership riders. I mainly used R to bring all this data together, clean it and do some initial analysis. After that, I used Tableau to create a couple graphs and an easy to view dashboard. My R Markdown file can be viewed on my Kaggle profile, and the dashboard I created (although basic) can be found on my Tableau profile. I also created a slide deck embedded below that includes charts, observations and three recommendations on what the fictional company could do to encourage casual riders to subscribe to their membership.
Programs/Languages Used: R, Tableau, Excel, Powerpoint.
Lessons Learned: I broke quite a bit while writing my R Markdown file, but was able to sort through those issues and I definitely came away with a much better grasp on how R works. Additionally, I had forgotten a decent amount of what the certification course taught me about Tableau. This project helped me pick up some of those pieces and showed me what areas I need to work on going forward.