Your organization will need to provide relevant datasets*, background information, and a high-level business question, opportunity, or challenge. Although it is the responsibility of the students to develop an appropriate analytical solution to the business problem you provide, it would be helpful if you select a business question, opportunity, or challenge is amendable to a data-driven solution (to the best of your knowledge)

Project Examples

Students can create data analytics solutions and models to assist with:

1. Forecasting (sales, demand, market conditions)
2. Developing a dashboard or reporting solution to provide actionable insights
3. Improving customer retention
4. Quantifying Customer Lifetime Value
5. Predicting various events of interest (fraud, misdiagnosis)
6. Getting customers to purchase more premium (up-sell) products
7. Getting customers to purchase across multiple categories (cross-sell)
8. Finding the best customers for a Direct Marketing initiative
9. Customer segmentation (behavioral or transactional)
10. Social Network Analysis (understand influencers, customer relations)
11. Understanding customer sentiment and what they are talking about (topic modeling)
12. Recommender systems for various items (movies, products, etc.)
13. Market Basket Analysis to understand which items are often purchased together
14. Predicting or forecasting a numeric value of interest (home prices, population)
15. Visualize buyers and buyers habits over time
16. Data visualization, Data analysis, Statistical modelling, Market research, Data science

To ensure students’ learning objectives are achieved, we recommend that the datasets are at least 100k+ rows in size. Furthermore, the datasets do not have to be ‘clean’ or complete (in fact, we would encourage datasets to be as realistic as possible in order to allow students to conduct the appropriate data preparation steps).

Lastly, the datasets do not need to be combined or joined beforehand. For example, you may share several separate datasets (for example as .CSVs) that contain customer demographic data, transactional data, and product data. Students will be responsible for determining how to integrate these datasets, both to support their learning objectives, but also to reduce the data preparation work from your end.

This project can encompass a wide range of topics that require data-driven decision making. If you are interested in determining if your use case would be applicable to this project please submit your project proposal to connect with the instructor.

*You can provide either current data from your organization or randomized/anonymized version of your data that is still relevant to your company and the business question at hand.