A. Take home Challenge: Credit card Fraud detection classification problem. Address the class imbalance, missing values, evaluation metrics B. Analyst case study: Theme park analysis, calculate weighted avg, revenue cost analysis, make you fill out a table and then calculate profit and then ask you for suggestions C. Statistics role play: airline delay business problem, gives you a sample analysis and asks you to explain everything to the interviewer D. Technical: how do you handle missing values, how credit card fraud works pandas, numpy basics implemented in a dataframe evaluation metrics for classification and regression