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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