Business Analytics course homework assignments
About: examine the data on bank customers and find out:
- What are the most important factors for predicting customer churn in this bank?
- How much time does the bank have on average before a customer churns?
Data: bank churn
Methods:
- predicting churn: logistic regression, decision tree, random forest
- survival analysis: Kaplan-Meier estimate, Cox proportional hazards regression model
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About: examine the dataset about the direct phone call marketing campaigns, which aimed to promote term deposits among existing customers by a Portuguese bank from May 2008 to November 2010, and do the following:
- explain the current situation with subscription rate
- create a predictive model (whether a client will subscribe a term deposit)
- suggest policy for subscription rate increase, and analyze it using the what-if modeling
Data: bank marketing dataset
Methods: logistic regression, bayesian network
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About: analyze the survey among young people and produce recommendations for a start-up company forcusing on the new superfood delivery on two main points:
- how to frame the ad campaign?
- whom to target with the products?
Data: Young People Survey
Methods: bayesian network
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