Some example topics could include any of the following:
· How do the prices of airline tickets change as you get closer to the date of the flight?
· Are surgeries more successful on weekdays versus weekends?
· Which factors influence the volume of inventory for retail products?
Your team may select any reasonable question and source of data to study. The examples that are presented in class are all worthy of additional exploration, or you may choose a topic that is interesting to you. The teaching staff will be available to help you think about these issues and the approach.
The focus of the project can range from exploring different methods of analysis to building innovative applications. But, overall the project must answer some questions about what is contained in the data and how this information can be applied in a real setting.
Data Sets
· Your team is welcome to select a data set of its choice.
· The complexity and dimension of the data can vary. You must be able to work with the information provided, and the data does not have to be enormous to be effective. However, the information should be of a sufficient quality to address the questions you’d like to answer.
· However, it is important that the data you choose should be real in some meaningful sense. There should be some practical challenges to investigate. Ideally your project would have a degree of uniqueness to it. For this reason, it is recommended that you consider data sources apart from the typical data sets often used in data science courses and competitions. These issues can be discussed in greater detail during the checkpoints.
